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Sentiment Analysis in Social Networks

Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu




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 | #1554862 in Books |  2016-09-30 | Original language:English |  9.25 x.60 x7.52l,1.11 | File type: PDF | 284 pages

||About the Author|Dr. Federico Alberto Pozzi received the Ph.D. in Computer Science at the University of Milano - Bicocca (Italy). His Ph.D. thesis is focused on Probabilistic Relational Models for Sentiment Analysis in Social Networks. His research interests pri

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking.

Sentiment Analysis in Social Networks begins with an overview of the latest r...

You easily download any file type for your device.Sentiment Analysis in Social Networks   |  Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu. Just read it with an open mind because none of us really know.

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