Over the last three months, almost 60% of those surveyed signed up for a new online service or social network. Brazilians are most active on Facebook, followed by Twitter, Orkut, and Windows Live Messenger. Usage habits vary between networks - Facebook users spend more total hours online per week and access the internet from various locations and devices, while Twitter users have a higher proportion of access from work, indicating its use for professional purposes. Mobile access is growing rapidly across most networks.
Categorize balanced dataset for troll detectionvivatechijri
As we know cyber bullying is increasing day by day and Cyber troll is one of the cyber-aggressive actions that is not much different from cyberbullying in online abuse so that the victims feel uncomfortable. One of the most used social media platforms in which cyber trolling frequently happens is Twitter. Basically, it is found that during an investigation of cyberbullying cases a lot of information gathered is false which aims to give discomfort, hatred and waste lots of time. So, it is necessary to classify between cyberbullying tweets and normal tweets on twitter. There has already been research on classification of cyberbullying tweets and normal tweets using the Support vector machine (SVM) algorithm. But the drawback of the system is that it only gives 63.83% of accuracy. Firstly, we can improve the accuracy of the system by using the Recurrent Neural Network (RNN) And Secondly, for balancing the dataset we will be using Synthetic Minority Over-sampling Technique (SMOTE). We believe that using these techniques we will be able to increase the accuracy of the previous proposed.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Usage and behavioral habits of Brazilian internet users in social mediaElife Brasil
The aim of the study Usage and behavioral habits of Brazilian internet users in social media was to find out what are the habits of Brazilians when using the Internet and social media combined with other media.
In social networks, the following was analyzed: places and support for access, time of use, most used apps and the tendency of growth of some networks to the detriment of others, as well as their specific use.
The influence of social networks as a source of information for the purchase decision process was also analyzed.
Categorize balanced dataset for troll detectionvivatechijri
As we know cyber bullying is increasing day by day and Cyber troll is one of the cyber-aggressive actions that is not much different from cyberbullying in online abuse so that the victims feel uncomfortable. One of the most used social media platforms in which cyber trolling frequently happens is Twitter. Basically, it is found that during an investigation of cyberbullying cases a lot of information gathered is false which aims to give discomfort, hatred and waste lots of time. So, it is necessary to classify between cyberbullying tweets and normal tweets on twitter. There has already been research on classification of cyberbullying tweets and normal tweets using the Support vector machine (SVM) algorithm. But the drawback of the system is that it only gives 63.83% of accuracy. Firstly, we can improve the accuracy of the system by using the Recurrent Neural Network (RNN) And Secondly, for balancing the dataset we will be using Synthetic Minority Over-sampling Technique (SMOTE). We believe that using these techniques we will be able to increase the accuracy of the previous proposed.
Twitter analytics: some thoughts on sampling, tools, data, ethics and user re...Farida Vis
Keynote delivered at the SRA Social Media in Social Research conference, London, 24 June, 2013. The presentation highlights some thoughts on sampling, tools, data, ethics and user requirements for Twitter analytics, including an overview of a series of recent tools.
Picturing the Social: Talk for Transforming Digital Methods Winter SchoolFarida Vis
This talk highlights the work of the Visual Social Media Lab and the Picturing the Social project. It summarises the key research questions and aims of the project. It highlights the value of interdisciplinarity and working closely with industry in this area. It also focuses on the way in which me might study different types of structures involved in the circulation and the scopic regimes that make social media images more or less visible. It also tries to unpack how we can start to think about APIs as 'method' and looks at the different ways in which we can get access to different kinds of social media image data. Both through public ('free') APIs and ('pay for') firehose data.
Usage and behavioral habits of Brazilian internet users in social mediaElife Brasil
The aim of the study Usage and behavioral habits of Brazilian internet users in social media was to find out what are the habits of Brazilians when using the Internet and social media combined with other media.
In social networks, the following was analyzed: places and support for access, time of use, most used apps and the tendency of growth of some networks to the detriment of others, as well as their specific use.
The influence of social networks as a source of information for the purchase decision process was also analyzed.
Anatoliy Gruzd and Philip Mai
Workshop presented at the TTRA Annual International Conference in Quebec City (June 20, 2017)
https://2017ttraannualinternationalconfe.sched.com/event/9yCg/social-listening-how-to-do-it-and-how-to-use-it-veille-sociale-comment-faire-et-comment-lutiliser?iframe=no&w=100%&sidebar=no&bg=no
Social media is now the place where people are gathering en masse to discuss the news with their friends, neighbors and complete strangers. This change in news consumers’ behavior is proving to be a challenge for local news, but it is also an opportunity. Users and system generated data from social media can also be a boon for content creators. This presentation will feature a case study showing how publishers can use social media analytics to gain insights into their audience and how to use this information to foster a stronger sense of community around their brand of journalism. The case study will focus on how to use Netlytic, a cloud-based social media analytics tool, to mine the public Facebook interactions of the readers of BlogTO, a regional, Canadian-based media outlet, to find out what their readers are interested in and what engages them.
Analyzing social media may be a daunting task, given its overwhelming size and messy, unstructured nature. Further, for those new to analyzing social behavior in online systems, there are any number of pitfalls that make it challenging to find the meaning in the mess. The goal of this session is to provide practical tips for collecting and analyzing social media data.
An evolutionary approach to comparative analysis of detecting Bangla abusive ...journalBEEI
The use of Bangla abusive texts has been accelerated with the progressive use of social media. Through this platform, one can spread the hatred or negativity in a viral form. Plenty of research has been done on detecting abusive text in the English language. Bangla abusive text detection has not been done to a great extent. In this experimental study, we have applied three distinct approaches to a comprehensive dataset to obtain a better outcome. In the first study, a large dataset collected from Facebook and YouTube has been utilized to detect abusive texts. After extensive pre-processing and feature extraction, a set of consciously selected supervised machine learning classifiers i.e. multinomial Naïve Bayes (MNB), multi layer perceptron (MLP), support vector machine (SVM), decision tree, random forrest, stochastic gradient descent (SGD), ridge, perceptron and k-nearest neighbors (k-NN) has been applied to determine the best result. The second experiment is conducted by constructing a balanced dataset by random under sampling the majority class and finally, a Bengali stemmer is employed on the dataset and then the final experiment is conducted. In all three experiments, SVM with the full dataset obtained the highest accuracy of 88%.
The Commtouch Quarterly Internet Threats Trend Report provides insight on the latest spam, malware, phishing schemes and other web security threats.
The January 2012 edition provides analysis of Internet security threats that occurred during the fourth quarter of 2011. This edition also provides an overview of Facebook attacks that occurred throughout 2011.
Presentation for: Masterclass 19: Using social media in public engagement for the Public Engagement & Impact Team at The University of Sheffield, 26 November 2014.
The Power Point to support my presentation on use of Social Media in higher education. NISOD Conference on Teaching and Leadership Excellence, May 30 2011
Psychoanalysis of Online Behavior and Cyber Conduct of Chatters in Chat Rooms...Eswar Publications
With ease of access of internet connectivity and owing to ability of maintaining anonymity, online chatting has become very common. Based on an empirical study comprising of more than 700 chatting sessions spread over a period of 15 months with nearly 2500 online chatters, this paper aims to present a psychological study and analysis of the behavior of chatters in online chatting environments. It has been found that the chatting environments are dominated by male gender and explicit sexual expression is common. The paper also laments
the ability of chatting environments to be exploited as breeding ground for cyber crimes by using ‘social engineering’. On the sidelines, the paper also lists the motivations driving the people to chat as well as the various rewards and drawbacks that chatting poses to the chatter in specific and society in general.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Twitter users in Miami: who are they? by E.lifeElife Brasil
E.life has identified 5.000 locals or tourists Miami who checked-in in the city during the last semester and analyzed their twitter timelines.
360.000 tweets analyzed between 01/01/2014 a 04/09/2014 using the proprietary methodology Consumer-centered Monitoring.
Facebook bots uma nova arma no relacionamento e atendimento ao consumidorElife Brasil
O Facebook quer que o consumidor chame um táxi, solicite informações, tire dúvidas de produto e promoções, recarregue seu celular, reserve um jantar no restaurante e até peça pizza através de canais dos CHAT BOTS.
Ao limitar o vocabulário de um BOT a comandos específicos, a tarefa de processar diálogos com os consumidores torna-se muito mais simples. Isto porque um programador não precisa prever os infinitos casos do mundo real (o que os engenheiros de Inteligência Artificial chamam de mundo aberto), mas podem lidar apenas com um número finito embora diverso de casos de um escopo bem definido (mundo fechado).
Se a sua marca ou o seu negócio depende de interações constantes com seus consumidores, um BOT é mais um canal para atender de forma automática ou semiautomática seus clientes, a um custo muito menor e com uma equipe de atendimento reduzida. A ideia é combinar a tecnologia para responder as perguntas mais simples e redirecionar para um ser humano aquelas demandas mais complicadas.
Neste material, abordamos:
1. O que são BOTS e para que servem.
2. Passo a passo que a empresa deve cumprir para ter um BOT efetivo no ar.
3. O que medir e como manter a relevância do BOT.
4. BOTS já em funcionamento no mercado e demonstrações.
Brazilian internet users behaviour patterns in social mediaElife Brasil
The survey Brazilian internet users behaviour patterns in social media aimed to find out for the first time who are the most active Brazilians in social media, which services they use the most, their motivation and what is the services’ relevance as an information source.
E.life together with Text100 made a report about Facebook in Italy (Nov and Dec 2010). "Lasciamo parlare Facebook" ("let's listen to what the Facebook users have to say) analyzes more than 1.000.000 posts, comments and links about Italian and International brands. The goal was to discover which were the top brands, the most commented, and which ones are investing in creating a relationship with their Facebook followers. For any question, please contact us: viviana@elife.com.br.
Anatoliy Gruzd and Philip Mai
Workshop presented at the TTRA Annual International Conference in Quebec City (June 20, 2017)
https://2017ttraannualinternationalconfe.sched.com/event/9yCg/social-listening-how-to-do-it-and-how-to-use-it-veille-sociale-comment-faire-et-comment-lutiliser?iframe=no&w=100%&sidebar=no&bg=no
Social media is now the place where people are gathering en masse to discuss the news with their friends, neighbors and complete strangers. This change in news consumers’ behavior is proving to be a challenge for local news, but it is also an opportunity. Users and system generated data from social media can also be a boon for content creators. This presentation will feature a case study showing how publishers can use social media analytics to gain insights into their audience and how to use this information to foster a stronger sense of community around their brand of journalism. The case study will focus on how to use Netlytic, a cloud-based social media analytics tool, to mine the public Facebook interactions of the readers of BlogTO, a regional, Canadian-based media outlet, to find out what their readers are interested in and what engages them.
Analyzing social media may be a daunting task, given its overwhelming size and messy, unstructured nature. Further, for those new to analyzing social behavior in online systems, there are any number of pitfalls that make it challenging to find the meaning in the mess. The goal of this session is to provide practical tips for collecting and analyzing social media data.
An evolutionary approach to comparative analysis of detecting Bangla abusive ...journalBEEI
The use of Bangla abusive texts has been accelerated with the progressive use of social media. Through this platform, one can spread the hatred or negativity in a viral form. Plenty of research has been done on detecting abusive text in the English language. Bangla abusive text detection has not been done to a great extent. In this experimental study, we have applied three distinct approaches to a comprehensive dataset to obtain a better outcome. In the first study, a large dataset collected from Facebook and YouTube has been utilized to detect abusive texts. After extensive pre-processing and feature extraction, a set of consciously selected supervised machine learning classifiers i.e. multinomial Naïve Bayes (MNB), multi layer perceptron (MLP), support vector machine (SVM), decision tree, random forrest, stochastic gradient descent (SGD), ridge, perceptron and k-nearest neighbors (k-NN) has been applied to determine the best result. The second experiment is conducted by constructing a balanced dataset by random under sampling the majority class and finally, a Bengali stemmer is employed on the dataset and then the final experiment is conducted. In all three experiments, SVM with the full dataset obtained the highest accuracy of 88%.
The Commtouch Quarterly Internet Threats Trend Report provides insight on the latest spam, malware, phishing schemes and other web security threats.
The January 2012 edition provides analysis of Internet security threats that occurred during the fourth quarter of 2011. This edition also provides an overview of Facebook attacks that occurred throughout 2011.
Presentation for: Masterclass 19: Using social media in public engagement for the Public Engagement & Impact Team at The University of Sheffield, 26 November 2014.
The Power Point to support my presentation on use of Social Media in higher education. NISOD Conference on Teaching and Leadership Excellence, May 30 2011
Psychoanalysis of Online Behavior and Cyber Conduct of Chatters in Chat Rooms...Eswar Publications
With ease of access of internet connectivity and owing to ability of maintaining anonymity, online chatting has become very common. Based on an empirical study comprising of more than 700 chatting sessions spread over a period of 15 months with nearly 2500 online chatters, this paper aims to present a psychological study and analysis of the behavior of chatters in online chatting environments. It has been found that the chatting environments are dominated by male gender and explicit sexual expression is common. The paper also laments
the ability of chatting environments to be exploited as breeding ground for cyber crimes by using ‘social engineering’. On the sidelines, the paper also lists the motivations driving the people to chat as well as the various rewards and drawbacks that chatting poses to the chatter in specific and society in general.
Slides from a practical workshop on gathering customer insights from social media using Social Network Analysis (SNA) with NodeXL and Twitter. SNA allows you to gain insight from thousands of tweets and messages on a range of topics for marketing research or academic use. NodeXL reports can be used for measuring and monitoring an organisation’s own performance as well as a competitors´ performance. At the highest level, a SNA approach allows social media managers to recognize what their audience looks like.
Twitter users in Miami: who are they? by E.lifeElife Brasil
E.life has identified 5.000 locals or tourists Miami who checked-in in the city during the last semester and analyzed their twitter timelines.
360.000 tweets analyzed between 01/01/2014 a 04/09/2014 using the proprietary methodology Consumer-centered Monitoring.
Facebook bots uma nova arma no relacionamento e atendimento ao consumidorElife Brasil
O Facebook quer que o consumidor chame um táxi, solicite informações, tire dúvidas de produto e promoções, recarregue seu celular, reserve um jantar no restaurante e até peça pizza através de canais dos CHAT BOTS.
Ao limitar o vocabulário de um BOT a comandos específicos, a tarefa de processar diálogos com os consumidores torna-se muito mais simples. Isto porque um programador não precisa prever os infinitos casos do mundo real (o que os engenheiros de Inteligência Artificial chamam de mundo aberto), mas podem lidar apenas com um número finito embora diverso de casos de um escopo bem definido (mundo fechado).
Se a sua marca ou o seu negócio depende de interações constantes com seus consumidores, um BOT é mais um canal para atender de forma automática ou semiautomática seus clientes, a um custo muito menor e com uma equipe de atendimento reduzida. A ideia é combinar a tecnologia para responder as perguntas mais simples e redirecionar para um ser humano aquelas demandas mais complicadas.
Neste material, abordamos:
1. O que são BOTS e para que servem.
2. Passo a passo que a empresa deve cumprir para ter um BOT efetivo no ar.
3. O que medir e como manter a relevância do BOT.
4. BOTS já em funcionamento no mercado e demonstrações.
Brazilian internet users behaviour patterns in social mediaElife Brasil
The survey Brazilian internet users behaviour patterns in social media aimed to find out for the first time who are the most active Brazilians in social media, which services they use the most, their motivation and what is the services’ relevance as an information source.
E.life together with Text100 made a report about Facebook in Italy (Nov and Dec 2010). "Lasciamo parlare Facebook" ("let's listen to what the Facebook users have to say) analyzes more than 1.000.000 posts, comments and links about Italian and International brands. The goal was to discover which were the top brands, the most commented, and which ones are investing in creating a relationship with their Facebook followers. For any question, please contact us: viviana@elife.com.br.
Per chi come noi ieri non ha potuto partecipare al #forumdigitale (diciamo la verità, siamo arrivati e scappati perchè c’era un pò troppa confusione per i nostri gusti), abbiamo redatto un riassunto dei contenuti di circa 1.500 tweets che hanno citato l’hashtag dell’evento il giorno 16/02.
Abbiamo preferito soffermarci sui punti positivi piuttosto che sui negativi e su alcuni tra i top interventi e spunti che abbiamo considerato interessanti. Buona lettura!
Tài liệu nghiên cứu này sẽ giúp bạn hiểu rõ hơn về xu hướng sử dụng Internet ở Việt Nam cũng như những hoạt động của người tiêu dùng khi sử dụng các công cụ tìm kiếm và sử dụng mạng Internet.
Social Media @Home and @Work:Understanding Who Is Using and WhyCaroline Dangson
1. How does IDC define social media?
2. What is the size of the market?
3. How has social media evolved?
4. How is it changing the way consumers and businesses communicate?
5. Case Studies
6. IDC U.S. social networking behaviors and attitudes survey data
7. Implication of research and essential guidance
Usage of Social Media on Phones in IndiaPALLAV GROVER
As a part of our assignment, me and my friend had to trap the idea that is prevalent in India based upon the title mentioned. While answering that, we took cognizance of empirical data with a relatively small but workable population.
Hope it helps.
Google Vietnam digital profiling report 7/2012Anh Pham Duy
Google Vietnam digital profiling report 7/2012
1 Background & Methodology
2 Internet users at a glance
3 Cross-media consumption behaviour
4 The role of the internet when shopping
5 Search and the research process
6 Advertising and the research process
7 Summary
8 Appendix
Analysis of social networking websites and its effect on academic studentsJahangeer Qadiree
Social Networking Websites have enlarged widely worldwide and are used by different types of communities for different
purposes. The effect of social networking websites can be good on students but if we look closer on social networking websites. Today;
Social Networking Websites leads an important role in running the future and carrier of students. At present there are billions of profile
identities of the world wide on Social Networking Websites. The social networking websites are continuously disturbing students from
their studies. As the students main focus for using such social networking websites should be centered focused but unfortunately the
student are using social networking websites for complete destroy of their carrier. As the Social Networking Websites were the only link
between many users across the world, but the social networking websites become just a fertile exercise among the students, teenagers
and even adults. This research paper presents the social networking websites effect on student’s carrier, and the life of teenagers. It also
shows that how the social networking websites are today effective for students pursuing academics, youth and teenagers.
Representação da Diversidade na Propaganda Digital BrasileiraElife Brasil
Apesar da onda conservadora, a sociedade vem abraçando cada vez mais suas diversidades. As minorias ganham mais espaço na comunicação e os estereótipos são combatidos.
Mas como as diversidades são representadas na propaganda? Idosos, mulheres, gays, lésbicas, asiáticos, transexuais e outras minorias são retratadas de fato e se vêem na comunicação dos anunciantes brasileiros?
Aline Araújo, Gerente de Projetos na Elife e uma das idealizadoras do estudo, explica como surgiu a ideia de fazer esta análise: “Acreditamos que representatividade é importante para todos os grupos sociais, em especial, os grupos que são historicamente marginalizados em várias frentes. Queríamos entender como os principais anunciantes se portam nesse quesito e trazer aprendizados para diferentes segmentos de mercado.”
Apresentação Buzzmonitor Brasil - Jan/2019Elife Brasil
Conheça o Buzzmonitor e entenda quais são todos os serviços e funcionalidades que ele oferece.
Veja também como esta ferramenta pode otimizar a gestão de uma marca em Social Media com estratégias vencedoras e soluções customizadas que atendem às demandas de cada empresa no mundo digital.
Saiba mais em: www.buzzmonitor.com.br
Gestão de Relacionamento com InfluenciadoresElife Brasil
A gestão de influenciadores se consolidou nos últimos anos como uma das estratégias de marketing mais bem sucedidas para as marcas gerarem lembrança e identificação na mente dos consumidores.
Youtubers, blogueiros ou webcelebridades, os influenciadores fazem parte do dia a dia das marcas que se esforçam para encontrá-los e estabelecer uma relação de longo prazo com eles.
Mas achar os influenciadores corretos é um desafio e escolhê-los é uma ciência que precisa ser aperfeiçoada com afinco.
Descubra como aprimorar a gestão do relacionamento de sua marca com influenciadores!
Conheça o Buzzmonitor e entenda quais são todos os serviços e funcionalidades que ele oferece, tudo em Inglês!
Veja também como esta ferramenta pode otimizar a gestão de uma marca em Social Media com estratégias vencedoras e soluções customizadas que atendem às demandas de cada empresa no mundo digital.
Hábitos e Cuidados Capilares das Consumidoras Brasileiras - Resultados Finais Elife Brasil
Confira todos os resultados da pesquisa realizada por meio da Juli, bot de pesquisa de mercado, para entender melhor quais são os hábitos das mulheres brasileiras em relação aos cuidados com os cabelos!
As decisões de consumo de um consumidor estão em mudança contínua e prever o próximo passo destes consumidores é um desafio cada vez maior para as empresas. Por isso, a E.life criou o serviço de Insights em Tempo Real: uma ferramenta que possibilita a interação de Bots dentro do Facebook Messenger para entender profundamente os consumidores. Conheça!
Conheça o Buzzmonitor e entenda quais são todos os serviços e funcionalidades que ele oferece.
Veja também como esta ferramenta pode otimizar a gestão de uma marca em Social Media com estratégias vencedoras e soluções customizadas que atendem às demandas de cada empresa no mundo digital.
Utilizando a sua metodologia proprietária AI 360 - em que traços do perfil do internauta, conteúdos consumidos por ele, buscas realizadas opiniões que publicam são combinados para um olhar aprofundado sobre uma marca ou segmento -, a E.Life realizou um estudo sobre a marca Dior. A análise foi apresentada por Breno Soutto - Head da área de Inteligência - no evento Luxury for Web, promovido pelo Digitalks.
Com o estudo, foi possível não apenas observar a grande presença da marca no Brasil, com mais de um milhão de usuários ativos mensalmente no Facebook, como perfil de seus consumidores - 94% mulheres, urbanas, com grande concentração entre 25 e 44 anos.
Também aprendemos que o interesse por consumo de materiais de estilo, moda e beleza é bastante presente, havendo impacto de diversas marcas e formadores de opinião no consumo.
Graças a linhas de volumes de buscas, percebemos um decréscimo de interesse após o final de 2016, possível reflexo da alta do dólar, o que levou à busca por produtos de menor valor, principalmente make-up.
Para ter acesso ao estudo completo e saber mais sobre a metodologia AI 360 e outras soluções E.Life, entre em contato conosco pelo email negocios@elife.com.br
Fomos a 69 páginas e grupos de discussão no Facebook e encontramos exatamente o público com quem queríamos falar: as mães millennials. O olhar sobre mães de forma ampla, mergulhado nas conversas e não em buscas, nos permitiu compreender todo o universo de boca a boca ligado à maternidade e é neste mergulho que observamos tendências e oportunidades de negócio.
Do empoderamento do consumidor, passando pelo respeito e consideração ao poder de consumo das massas negligenciadas até inovações tecnológicas, os próximos 12 meses da comunicação corporativa serão marcados por mudanças necessárias no papel comunicação corporativa. Acompanhe as 5 tendências para a comunicação digital em 2017 que a E.life e a SA365 selecionaram.
Novo serviço E.life que permite identificar marcas e logos em fotos publicadas em redes sociais mesmo que estas marcas não tenham sido mencionadas em termos ou hashtags (busca textual). Pode ser utilizado para ajudar na identificação de influenciadores ou para monitorar a jornada do consumidor da sua marca mesmo que ele não a mencione.
Hoy en día, los datos internos de las empresas sobre consumidores solo constituyen una fracción de lo que se aloja externamente en otros ordenadores. Sus hábitos y forma de actuar se pueden encontrar en plataformas de redes sociales y eso está en algún sitio, en un enorme flujo de Big Data social. Pero con las herramientas y filtros adecuados a esos datos es posible ofrecer una oferta contextualizada que tiene en cuenta quién es el consumidor, qué le gusta, a dónde va y cuál es el mejor momento para hacerle la mejor oferta.
O objetivo dessa análise é entender tudo o que foi falado em torno de 15 aeroportos brasileiros com os maiores índices de movimentação nos últimos anos. Assuntos mais falados, reputação e imagem, volume e buzz serão algumas das aberturas que apresentaremos nesse documento.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
2. The research on users habits and behavior of
Brazilians in Social Media intends to show what
users think about the social networks that they
access and how they use them.
Analysis structure and the social networks
studied were chosen according to the
interviewees answers, reflecting the most used
and more interesting social networks for these
users.
3. METHODOLOGY
E.Life created a questionnaire with questions related
to the use and behaviour of social networks
users, which was spread in social networks
specially through Twitter and Facebook.
The research was conducted during the period from
november 2011 to february 2012 fulfilling a total
of 1.316 questionnaires.
5. ... access Internet from home.
In which places do you usually access the Internet (%)?*
A broad access to internet
from home is one of the most
remarkable characteristics of Social
Media users.
... use more mobile devices.
[
What kind of devices do you usually use to access the internet (%)?*
* Multiple Answer. Base: 1.316 questionnaires.
6. ... stay online for a long time
How many hours a week do you spend in the Internet (%)?*
Social media users are in general still described by
the great amount of hours spent online (heavy
users).
... are online and offline at the same time.
Which other activities do you usually do while online?*
It might indicate that social network
users are changing their habits and
consuming online the same contents
available on TV. (Sharing films and TV
series, Netflix, etc).
* 1,7% of non-answered questionnaires. Base: 1.316 questionnaires.
7. ... want to be closer.
* Multiple Answer. Base: 1.316 questionaires
8. ... use different social networks to connect.
In the last 3 months, have you signed up to any social network?*
Despite Brazil being Facebook „s
second major user base, in the last
three months Facebook
58,1% YES**
achieved an amount of new
users similar to Google+,
40,5% NO which aims to be one of its main
competitors.
** Multiple Answer.
*1,4% of non-answered questionnaires.
Base: 765 questionnaires.
Base: 1.316 questionnaires.
... look for practicality.
Do you access social networks using applications?**
68,0% YES** From 2011 to 2012 app users
proportion has increased to
double the amount.
31,7% NO
** Multiple Answer.
Base: 895 questionnaires.
**0,3% of non-answered questionnaires
Base: 1.316 questionnaires.
9. Over the last three months, almost
60% of interviewees sign up to an
online service or social network.
11. Brazilians are on…
*Multiple Answer. Base: 1.316 questionnaires. Considered only those that sum more than 15 % of the answers.
12. However having an account doesn‟t mean they use it.
Which social networks do you use more frequently (%)?*
*Multiple Answer. Base: 1.316 questionnaires. Considered only those that sum more than 15 % of the answers.
13. FA C E B O O K E R S
How social networks are used:
Who is plugged into Facebook?
Behavioral habits in the use of Social
Media by Brazilian users
15. Habits of Internet users
How many hours a week do you spend in the Internet (%)?*
Two different profiles were detected: users that sign in
just a few times and heavy users. In the research of
2011, only heavy users excelled.
* 0,4% of non-answered questionnaires. Base: 1.169 questionnaires.
In which places do you usually access the Internet (%)?**
Broad access from home and from the office.
** Multiple Answer. Base: 1.169 questionnaires.
What kind of devices do you usually use to access the internet (%)?**
The number of mobile device users among Facebookers
indicates that the internet is accessed from any place at any
time, changing users behaviour by not being restricted to
fixed places.
68,5% use applications to access Facebook. The most
used ones are E-Buddy, Facebook for Android and for
Iphone/Ipad.
** Multiple Answer. Base: 1.169 questionnaires.
16. TWITTERS
How social networks are used:
Who is plugged into Twitter?
Behavioral habits in the use of Social
Media by Brazilian users
18. Habits of Internet users
How many hours a week do you spend in the Internet (%)?*
Most of Twitter users are heavy users, probably because
of its more dynamic structure.
* 0,6% of non-answered questionnaires . Base: 539 questionnaires.
In which places do you usually access the Internet (%)?**
A bigger proportion of access from work could indicate that
Twitter is used as a corporate tool (recruitment,
customer relation management and information related to
products and services).
** Multiple Answer. Base: 453 questionnaires.
What kind of devices do you usually use to access the internet (%)?**
Increase on the use of mobiles/smartphone from
44,8% in 2011 to 65,3% in 2012 among Twitter users.
71,6% use applications to access Twitter. The most used
ones are the oficial app of Twitter, E-Buddy and
Tweetdeck.
** Multiple Answer. Base: 539 questionnaires.
19. WINDOWS LIVE MESSENGERS
How social networks are used:
Who is plugged into MSN?
Behavioral habits in the use of Social
Media by Brazilian users
21. Habits of Internet users
How many hours a week do you spend in the Internet (%)?*
Between the 5 most used Social Networks, Windows Live
is the second Network with less growth in the past three
months, only behind Orkut
The majority of the Messengers access the internet a few
hours per week.
* Base: 453 questionnaires.
In which places do you usually access the Internet (%)?**
Comparing to other social network users, Messengers have
a less expressive access to the internet from work.
** Multiple Answer. Base: 453 questionnaires.
What kind of devices do you usually use to access the internet (%)?**
As it‟s shown in other networks, desktop still is the most
used equipment to access the internet, followed by
notebook and mobile/smartphone.
** Multiple Answer. Base: 453 questionnaires.
22. ORKUTERS
How social networks are used:
Who is plugged into Orkut?
Behavioral habits in the use of Social
Media by Brazilian users
24. Habits of Internet users
How many hours a week do you spend in the Internet (%)?*
Even with a considerable high level of heavy users (17,5%),
the majority of Orkuters use the internet less than 15
hours per week (35,7%), a tendency also perceived in
the 2011‟s report.
* 1,7% of non-answered questionnaires. Base: 417 questionnaires.
In which places do you usually access the Internet (%)?**
Like in others social networks, Orkuters do usually access
the internet from home. Another highliht is the access
from lan house (similar to na internet café) which
is the highest between the analyzed networks.
** Multiple Answer. Base: 417 questionnaires.
What kind of devices do you usually use to access the internet (%)?**
Orkut users represent a lower proportion of access
from smartphones and notebooks in comparison
with other social networks.
62,8% use applications to access Orkut. The most used are
Orkut for mobile and E-Buddy.
** Multiple Answer. Base: 417 questionnaires.
25. YOUTUBERS
How social networks are used:
Who is plugged into You Tube?
Behavioral habits in the use of Social
Media by Brazilian users
27. Habits of Internet users
How many hours do you use Internet per week (%)?*
Internet heavy users proportion between
Youtubers is as high as between Twitters, the
highest among analyzed networks.
*0,3% non-answered questionnaires. Base: 286 questionnaires.
In which places do you usually access Internet (%)?**
Youtubers tend to access the internet from work in
the same proportion Facebookers do, only behind Twitter
users. However their access from school/college is
low, specially if compared to the other networks.
* Multiple Answer. Base: 286 questionnaires.
Which of the following devices do you usually use for accesing Internet (%)?**
As it noticed in other social networks, Youtubers have a
high percentage of internet access from mobile
devices, mainly notebooks and mobile/smartphones.
** Multiple Answer. Base: 286 questionnaires.
31. The diversification of devices with
access to Internet makes mobiles,
netbooks and other portable devices
more attractive to a wide range of
interviewees and provides mobility to
the internet experience.
33. Internet Content
For users that access Internet from mobile/smartphone, the most wanted
content is*:
From 2010 to 2011 there was a rise in the access of
social networks and email from mobiles. Maps and
news content became less important to those users, which
could indicate a change in the user‟s profile caused by the
popularization of smartphones.
* Multiple Answer. Base: 740 questionnaires.
Mobile applications
Which applications are the most used?**
The use of apps designed for a specific operation system
shows Android’s predominance among
interviewess that access the internet using
mobiles/smartphones. Even though Apple‟s cost of
acquisition is higher in Brazil than in other countries, apps
designed for its system are second in preference.
**Multiple Answer. Base: 619 questionnaires.
35. Main interestes in Social Networks
For users that access Internet through tablets, the main interests in social
networks are: *
For tablets users, their main interests
in social networks are related to
professional activities as well as to
publish their personal content and
reading news.
Multiple Answer.
Base: 151 questionnaires.
Tablets in people‟s everyday
The majority of interviewee s stated
that tablet‟s possibilities regarding
work, mobility and access to
social networks would be essencial
to their everyday.
In relation to the word “tablet”.
Base: 1.316 questionnaires.
37. Consumers habits
in the internet and social networks
Behavioral habits in the use of Social
Media by Brazilian users
38. Consumers habits
Do you shop online?*
Online shopping is a habit of two out of three
interviewees. For people with an university degree online
shopping percentage increases up to 82,0%, while among
users with medium education the percentage falls to 56,3%.
*Multiple answer. Base: 1.316 questionnaires.
Post Purchase
39. According to Google, Internet has changed the
stages in the buying process. The stage of online
decision has been called Zero Moment of Truth
(ZMOT), related to future buyers behavior, those
who search for products, reviews in the Internet,
compare prices and exchange information with
friends and known people before formalizing the
act of buying. Our research has also found that
after buying products or services users tend to
publish their impressions and to expect a
continuous relationship with the brand.
40. Consumers and brands relations
Facebook:
74,0% “like” companies/brands fanpages
3,7% “liked” for some time, but not anymore
17,0% never “liked” a fanpage
Base: 1.023 questionnaires.
Multiple Answer. Base: 1.023 questionaires
Twitter:
54,1% follow companies/brands profiles
6,2% followed, but not anymore
13,3% never followed a company/brand profile
Base: 794 questionnaires.
Multiple Answer. Base: 794 questionaires
41. Three out of four Facebook users
“like” fanpages and half of Twitter
users follow brands/companies
profiles.
42. Monitorization and analysis of the word of mouth in Social Networks
Rua Pamplona, 518 – Jardim Paulistano
São Paulo, SP – Brasil – 01405-000
Fone/Fax: +55 11 2339-4928
www.elife.com.br