Getting Value From Social Media
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What you could mine about your brand in social media? What issues are there when you organise marketing campaign in a social network?
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This document provides statistics on social media usage in Switzerland from January 2010, comparing it to worldwide usage. It shows that Facebook had the highest reach in Switzerland at 42% of internet users, followed by MySpace, Flickr, Twitter, and LinkedIn all under 5% reach. Usage varied by age, gender, education level and income level for each platform. Some platforms like YouTube, foursquare and gowalla had no Swiss usage data available from Google Ad Planner.
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respect to some topic or the overall contextual polarity of a document. The attitude may be his or
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‘tweets’! Given a micro-blogging platform where official, verified tweets are available to us, we
need to identify the sentiments of those tweets. A model must be constructed where the sentiments
are scored, for each product individually and then they are compared with, diagrammatically,
portraying users’ feedback from the producers stand point.
There are many websites that offer a comparison between various products or services based on
certain features of the article such as its predominant traits, price, and its welcome in the market and
so on. However not many provide a juxtaposing of commodities with user review as the focal point.
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Antworten liefert die «Bernet ZHAW Studie Social Media Schweiz 2016» hier im Download oder in Kurzfassung im bernetblog.ch. Die Grafiken gibt es auch bei Flickr, Tweets bei #SocialMediaCH16 und die Studie im Schnelldurchlauf bei YouTube.
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Marshall Manson and James Whatley are back with their latest set of predictions for the social media year ahead.
This document outlines a brief review of the previous year's predictions and ideas as well as a more in-depth look at the thoughts, trends and predictions for 2015.
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2015 Instagram user demographics data for:
- Turkey
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Joanne Jacobs: How to use Social Media for Small Business
Joanne Jacobs: How to use Social Media for Small Business
Introduction To Social Media MBA Class At Webster University
Introduction To Social Media MBA Class At Webster University
More from maria.grineva
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
This document discusses using web-based user-generated knowledge bases like Wikipedia and Twitter to perform semantic data search and analysis. It describes developing a technology that extracts semantic information from these sources and applies it to organize news, blogs, and enterprise documents. The goal is to build a scalable open source framework that performs tasks like word sense disambiguation, semantic search, and personalized news generation using real-time information from Twitter.
Analytics for the Real-Time Web
Triggy is a system that provides real-time analytics capabilities. It is based on Cassandra, a distributed key-value store, and extends it to support push-style incremental processing of streaming data using a modified MapReduce programming model. Triggy scales computation and data storage together across nodes and can handle high volumes of streaming data with low latency for applications like real-time advertising and social media analytics. Other similar systems like Yahoo!’s S4 and Google’s Percolator also aim to enable real-time analytics but use different approaches and may not support real-time processing or incremental scaling in the same way.
Analytics for the Real-Time Web
This document discusses analytics for the real-time web. It describes how real-time web, enabled by mobile devices and social sharing, requires real-time incremental processing instead of batch processing. The author's system, Triggy, is presented as a solution. Triggy extends the Cassandra distributed key-value store with push-style processing and synchronization to incrementally update aggregate results. Experiments show Triggy can handle high throughput workloads like tweet counting. Similar systems like Yahoo! S4 and Google Percolator are also discussed. Potential applications mentioned include social media optimization, real-time news recommendations, advertising, and game analytics.
Filtering Twitter
This document discusses using Twitter lists to filter social media content by topic. It notes that 75% of online news consumers get news shared through social media, and over half share links. Twitter lists allow manually grouping users by topic discussed. The approach aims to automatically identify the niche topic of a Twitter list in real-time, improving the topic identification based on the global Twitter stream. Both textual and social features would be used to classify tweets, examining the interconnectedness of users in lists to identify central vs outlier users.
Architecture of Native XML Database Sedna
Sedna is a document database with APIs for C, Java, Scheme, OmniMark, Python, PHP, and .Net. The core C API allows for session management, transactions, query execution and result processing, and data loading. The Sedna architecture also includes an open socket protocol and extensibility of the basic C API to create new APIs.
XQuery Triggers in Native XML Database Sedna
XQuery triggers allow triggering actions in response to XML document changes in Sedna, an XML database. Triggers are defined using XQuery and can fire before or after insert, delete, or replace operations on nodes or entire statements. Triggers enable capabilities like integrity constraints and statistics monitoring. Sedna implements triggers efficiently using fixators on the schema to quickly detect triggered updates.
Extracting Key Terms From Noisy and Multi-theme Documents
The document summarizes a method for extracting key terms from documents using Wikipedia as a knowledge base. It models documents as semantic graphs connecting terms based on their relatedness as computed from Wikipedia. It then uses network analysis techniques to detect communities in these graphs, ranking the communities to select those most likely to contain key terms over noise or ambiguous terms. An evaluation found the method outperformed statistical and graph-based approaches on both noise-free and noisy, multi-theme documents without requiring training data.
Effective Extraction of Thematically Grouped Key Terms From Text
"Effective Extraction of Thematically Grouped Key Terms From Text". Presentation for AAAI-SSS-09: Social Semantic Web: Where Web 2.0 Meets Web 3.0:
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Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Semantic Data Search and Analysis Using Web-based User-Generated Knowledge Bases
Extracting Key Terms From Noisy and Multi-theme Documents
Extracting Key Terms From Noisy and Multi-theme Documents
Effective Extraction of Thematically Grouped Key Terms From Text
Effective Extraction of Thematically Grouped Key Terms From Text
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Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
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Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
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Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Video Streaming: Then, Now, and in the Future
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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.
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Communications Mining Series - Zero to Hero - Session 1
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GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
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20 Comprehensive Checklist of Designing and Developing a Website
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Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
20240607 QFM018 Elixir Reading List May 2024
Everything I found interesting about the Elixir programming ecosystem in May 2024
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsRecently uploaded (20)
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Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Getting Value From Social Media
- 1. Getting Value From Social Media Maria Grineva Systems Group Dept. Computer Science ETH Zurich - Switzerland