PDF Ebook Sentiment Analysis in Social Networks By Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu
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Sentiment Analysis in Social Networks By Federico Alberto Pozzi, Elisabetta Fersini, Enza Messina, Bing Liu
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- Sales Rank: #288095 in Books
- Published on: 2016-10-07
- Original language: English
- Dimensions: 9.25" h x 7.25" w x 1.00" l, 1.11 pounds
- Binding: Paperback
- 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 primarily focus on Data Mining, Text Mining, Machine Learning, Natural Language Processing and Social Network Analysis, in particular applied to Sentiment Analysis and Community Discovery in Social Networks. He currently works at SAS Institute (Italy) as Senior Solutions Specialist - Integrated Marketing Management & Analytics.
Dr. Elisabetta Fersini is currently a postdoctoral research fellow at the University of Milano - Bicocca (Italy). Her research activity is mainly focused on statistical relational learning with particular interests in supervised and unsupervised classification. The research activity finds application to Web/Text mining, Sentiment Analysis, Social Network Analysis, e-Justice and Bioinformatics. She actively participated to several national and international research projects. She has been an evaluator for international research projects and member of different scientific committees. She co-founded an academic spin-off specialized in sentiment analysis and community discovery in social networks.
Prof. Enza Messina is a Professor in Operations Research at the Department of Informatics Systems and Communications, University of Milano-Bicocca, where she leads the research Laboratory MIND (Models in decision making and data analysis). She holds a Ph.D. in Computational Mathematics and Operations Research from the University of Milano. Her research activity is mainly focused on decision models under uncertainty and more recently on statistical relational models for data analysis and knowledge extraction. In particular, she developed relational classi cation and clustering models that finds applications in different domains such as systems biology, e-justice, text mining and social network analysis.
Prof. Bing Liu is a professor of computer science at the University of Illinois at Chicago. He received his PhD in Arti cial Intelligence from the University of Edinburgh. His current research interests include sentiment analysis and opinion mining, data mining, machine learning, and natural language processing. He has published extensively in top conferences and journals, and is the author of three books: Sentiment Analysis and Opinion Mining (2012), Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (first edition, 2007; second edition, 2011), and Sentiment Analysis: Mining Opinions, Sentiments and Emotions (2015). Two of his papers received 10-year test-of-time awards from KDD, the premier conference of data mining and big data. His research has also been cited on the front page of the New York Times. He currently serves as the Chair of ACM SIGKDD, and is an Fellow of ACM, AAAI, and IEEE.
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