Juliette Melton - Mobile User Experience ResearchWeb Directions
Most user experience research takes place sitting behind a computer. And yet these days, most networked experiences are happening on mobile devices. Some common user experience research methods work well in a mobile environment — others don’t. In this talk, Juliette Melton will guide you through how to use some great existing research methods in a mobile context, how to incorporate some new (and fun!) methods into your arsenal, and propose next generation tools and services to make mobile user experience research even better.
Juliette has ten years of experience building, managing, and researching digital environments and is a human factors researcher based at IDEO in San Francisco. She’s deeply interested in the intersections between digital culture, learning, and communication. Her work has spanned a broad range of industries including social media, casual gaming, education administration, electronic publishing, corporate banking, computer hardware, and public health.
Community education — through workshops, lectures, and writing — is an important part of her work. Remote user experience methods, agile project management, and research program planning are frequent topics.
Juliette holds an MEd from the Technology, Innovation, and Education program at the Harvard Graduate School of Education where she focused on developing models for innovative networked learning applications. She also has a BA in Comparative Literature from Haverford College.
Follow Juliette on Twitter: @j
Analyzing Semi-Structured Data At Volume In The CloudRobert Dempsey
Presentation from Snowflake Computing at the November 2015 Data Wranglers DC meetup.
The Cloud, Mobile and Web Applications are producing semi-structured data at an unprecedented rate. IT professionals continue to struggle capturing, transforming, and analyzing these complex data structures mixed with traditional relational style datasets using conventional MPP and/or Hadoop infrastructures. Public cloud infrastructures such as Amazon and Azure provide almost unlimited resources and scalability to handle both structured and semi-structured data (XML, JSON, AVRO) at Petabyte scale. These new capabilities coupled with traditional data management access methods such as SQL allow organizations and businesses new opportunities to leverage analytics at an unprecedented scale while greatly simplifying data pipeline architectures and providing an alternative to the "data lake".
Juliette Melton - Mobile User Experience ResearchWeb Directions
Most user experience research takes place sitting behind a computer. And yet these days, most networked experiences are happening on mobile devices. Some common user experience research methods work well in a mobile environment — others don’t. In this talk, Juliette Melton will guide you through how to use some great existing research methods in a mobile context, how to incorporate some new (and fun!) methods into your arsenal, and propose next generation tools and services to make mobile user experience research even better.
Juliette has ten years of experience building, managing, and researching digital environments and is a human factors researcher based at IDEO in San Francisco. She’s deeply interested in the intersections between digital culture, learning, and communication. Her work has spanned a broad range of industries including social media, casual gaming, education administration, electronic publishing, corporate banking, computer hardware, and public health.
Community education — through workshops, lectures, and writing — is an important part of her work. Remote user experience methods, agile project management, and research program planning are frequent topics.
Juliette holds an MEd from the Technology, Innovation, and Education program at the Harvard Graduate School of Education where she focused on developing models for innovative networked learning applications. She also has a BA in Comparative Literature from Haverford College.
Follow Juliette on Twitter: @j
Analyzing Semi-Structured Data At Volume In The CloudRobert Dempsey
Presentation from Snowflake Computing at the November 2015 Data Wranglers DC meetup.
The Cloud, Mobile and Web Applications are producing semi-structured data at an unprecedented rate. IT professionals continue to struggle capturing, transforming, and analyzing these complex data structures mixed with traditional relational style datasets using conventional MPP and/or Hadoop infrastructures. Public cloud infrastructures such as Amazon and Azure provide almost unlimited resources and scalability to handle both structured and semi-structured data (XML, JSON, AVRO) at Petabyte scale. These new capabilities coupled with traditional data management access methods such as SQL allow organizations and businesses new opportunities to leverage analytics at an unprecedented scale while greatly simplifying data pipeline architectures and providing an alternative to the "data lake".
In this presentation, we describe how a text analytics command center can help you create a strategy for analyzing & integrating both social & private data.
Develop a robust and effective book recommendation system that provides personalized suggestions to users, enhancing their reading experience and promoting diverse literary exploration.
Some insights into social media analytics tool, including a high-level overview of the technology behind the data configuration - or how the tools filter social media conversations.
When to use the different text analytics tools - Meaning CloudMeaningCloud
Classification, topic extraction, clustering... When to use the different Text Analytics tools?
How to leverage Text Analytics technology for your business
MeaningCloud webinar, February 8th, 2017
More information and recording of the webinar https://www.meaningcloud.com/blog/recorded-webinar-use-different-text-analytics-tools
www.meaningcloud.com
Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
How is Watson Changing the Future of the Automative Industry?IBM Watson
“How is Watson Changing the Future of the Automotive Industry?” presented in Livonia, MI. Event participants were introduced to the age of cognitive computing, where cognitive analytics evaluate complex data in new ways to help solve the industry's most challenging problems. Cognitive computing has arrived, and its potential to transform the industry is momentous. Learn how cognitive solutions are being applied in the automotive industry and how industry leaders are embracing this ground breaking technology to spark the digital future.
Methods for Sentiment Analysis: A Literature Studyvivatechijri
Sentiment analysis is a trending topic, as everyone has an opinion on everything. The systematic
study of these opinions can lead to information which can prove to be valuable for many companies and
industries in future. A huge number of users are online, and they share their opinions and comments regularly,
this information can be mined and used efficiently. Various companies can review their own product using
sentiment analysis and make the necessary changes in future. The data is huge and thus it requires efficient
processing to collect this data and analyze it to produce required result.
In this paper, we will discuss the various methods used for sentiment analysis. It also covers various techniques
used for sentiment analysis such as lexicon based approach, SVM [10], Convolution neural network,
morphological sentence pattern model [1] and IML algorithm. This paper shows studies on various data sets
such as Twitter API, Weibo, movie review, IMDb, Chinese micro-blog database [9] and more. The paper shows
various accuracy results obtained by all the systems.
Analyze mentions, opinions, and sentiments behind social media postsshreya sahani
Use BytesView’s social media analytics to analyze large volumes of social media data. Compile and dissect complex abbreviations, acronyms, slangs, hashtags, and poor grammar with our text analysis tool and gain actionable insights.
visit: https://www.bytesview.com/sentiment-analysis
YouScan Company Overview - Social Media Listening with Visual Insights.pdfAlexander Sirach
Social Media Listening
with Visual Insights
Get to know your customers on a whole new level with AI-powered analysis of text, images, and audience data from social media.
This is our story
Back in 2009, it was quite challenging for companies to instantly collect brand mentions and get in-depth analytics based on this data. This was the moment when YouScan was created - a pioneering social media listening tool.
With the continuous improvement of the product, YouScan quickly became the #1 solution for social media monitoring in the Eastern Europe. The team started to work with world-renowned brands and agencies, such as Nestle, Unilever, Ipsos, and Samsung.
In 2018, YouScan introduced its breakthrough image recognition technology called ‘Visual Insights’, and the same year the team decided to conquer the global market.
Global recognition didn’t take long. In 2019, Gartner recognized YouScan as ‘Cool AI Vendor for Marketing’ and Saas Advisor named YouScan a Visual Analysis Category Winner in Martech-Challenges.
YouScan continued to expand and opened offices in New York, Mexico City, Limassol, and Warsaw. Two years in a row - 2020 & 2021 - it received the MarTech Breakthrough Award in the "Best Social Media Monitoring Software" category.
Today, the YouScan team is committed to bringing the best-in-class AI technologies to companies across the world, making it easier to listen to their customers every day.
An informative session on Amazon Mechanical Turk where you will learn how your company can leverage the human crowd for human sentiment analysis of content such as tweets, articles, RSS feeds and blog posts. This session digs into the details of getting started and provides information on how to be successful so you get accurate results. Additionally, FreedomOSS will share their experiences designing and managing sentiment tasks and demo's their CrowdControl crowdsourcing platform that is built on top of Mechanical Turk.
Your Social Customer's Conversation is Driving Your BusinessCollective Intellect
Collective Intellect uses semantic analysis to process, in real-time, large volumes of social media conversations. The resulting intelligence provides insights into the social customer: what they're buying, viewing, having problems with, including demographic or life stage data.
Mehrshad Setayesh, CIO, @collectual reviews the social media maturity curve, enterprise monitoring requirements and applying insights to business efforts to create a social business.
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In this presentation, we describe how a text analytics command center can help you create a strategy for analyzing & integrating both social & private data.
Develop a robust and effective book recommendation system that provides personalized suggestions to users, enhancing their reading experience and promoting diverse literary exploration.
Some insights into social media analytics tool, including a high-level overview of the technology behind the data configuration - or how the tools filter social media conversations.
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Knowledge Studio text analytics add-on is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.
How is Watson Changing the Future of the Automative Industry?IBM Watson
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Sentiment analysis is a trending topic, as everyone has an opinion on everything. The systematic
study of these opinions can lead to information which can prove to be valuable for many companies and
industries in future. A huge number of users are online, and they share their opinions and comments regularly,
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sentiment analysis and make the necessary changes in future. The data is huge and thus it requires efficient
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In this paper, we will discuss the various methods used for sentiment analysis. It also covers various techniques
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Analyze mentions, opinions, and sentiments behind social media postsshreya sahani
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visit: https://www.bytesview.com/sentiment-analysis
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with Visual Insights
Get to know your customers on a whole new level with AI-powered analysis of text, images, and audience data from social media.
This is our story
Back in 2009, it was quite challenging for companies to instantly collect brand mentions and get in-depth analytics based on this data. This was the moment when YouScan was created - a pioneering social media listening tool.
With the continuous improvement of the product, YouScan quickly became the #1 solution for social media monitoring in the Eastern Europe. The team started to work with world-renowned brands and agencies, such as Nestle, Unilever, Ipsos, and Samsung.
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Applying Text Analytics to Unstructured Data to Surface Real Business Intelligence
1. REAL TIME TEXT ANALTYICS Collective Intellect Leader In Text Analytics Solutions Proprietary and confidential. Not to be used or reproduced without the consent of Collective Intellect, Inc.
2. Collective Intellect seeks to maximize the value of free form text for clients Brand Selected Social handle Daypart Gender Location Subjective Dimensions: Taste, Quality Sentiment: Negative Proprietary and confidential. Not to be used or reproduced without the consent of Collective Intellect, Inc.
3. “I was surprised that no systems were designed to deal with the ambiguity of conversational text in a scalable fashion.” Proprietary and confidential. Not to be used or distributed without the consent of Collective Intellect, Inc. By recognizing the technological inefficiency of legacy players, Collective Intellect currently leads the space Tim MCandless, Chief Research Officer at Collective Intellect “Its (Collective Intellect) most notable attribute is data quality through text analysis, in which it currently leads the field” Forrester: The Forrester Wave™: Listening Platforms, Q3 2010
38. 25 unique review sitesProprietary and confidential. Not to be used or reproduced without the consent of Collective Intellect, Inc.
39. Software can be customized for analysis that is designed specifically to discover and trend KPIs relevant to a business Proprietary and confidential. Not to be used or distributed without the consent of Collective Intellect, Inc. Usecase: Analysis of client feedback forms Client XYZ used Collective Intellect’s software to determine which issues caused the most dissatisfaction among guests. Previous attempts with a legacy analytics system had proven inability to determine the most dominant issues, to quantify specific root causes within each issue, or to provide supporting verbatim in a satisfactory manner. Outcome By plugging those same surveys into CI’s text analytics suite, the client was able to determine key issues and rank them accordingly. Thereafter, supporting verbatim was retrieved as well. Client XYZ now has a clear understanding of where to focus capital for improvement and how to adjust messaging. Example of Customized Dashboard