Umigon - free sentiment analysis for Tweets Twitter
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Associate Professor at EMLYON Business School. Member of the Gephi Consortium. Companion website to my latest publication on the history of sociobiology. Co-direction of the Msc in Digital Marketing and Data Science.
Discover Research Tools for Textual Study. Browse Tools by Type or Tag. Read and Create Tool Reviews. The developer of this application can be reached on Twitter.
How to make the most of your data. And in Lyon, the city where I live, everyone is helped in starting their entrepreneurial projects. I visit and sometimes participate in these events. Listening to the pitches of the teams, I noticed something.
Dispatches from the world of Library Science studies. Image by unknown photographer, n. 8220;A new conjunction of scientist, curator, humanist, and artist is what the digital humanities must strive to achieve. It is the only way of ensuring that we do not lose our souls in a world of data. This project is well underway.
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Umigon - free sentiment analysis for Tweets TwitterDESCRIPTION
This is a free application to classify tweets according to positive, negative or neutral sentiment.PARSED CONTENT
The site had the following in the homepage, "Sentiment analysis for tweets, and more." I noticed that the web page stated " Application created by Clement Levallois." They also stated " Can process millions of tweets in minutes. Download the not too technical paper describing how Umigon works. Code available in open source on Github. Interested in integrating this app in your products via API etc. or research projects? If you use this application, please reference it in your work. Recommended references to explore the possibilities of text mining." The meta header had free sentiment analysis as the first keyword. This keyword was followed by opinion mining and text mining on twitter which isn't as important as free sentiment analysis.SEE MORE WEB PAGES
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