PDF-(BOOK)-Sentiment Analysis in Social Networks

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 networkingSentiment Analysis in Social Networks begins with an overview of the latest research trends in the field It then discusses the sociological and psychological processes underling social network interactions The book explores both semantic and machine learning models and methods that address contextdependent and dynamic text in online social networks showing how social network streams pose numerous challenges due to their largescale short noisy context dependent and dynamic nature Further this volume Takes an interdisciplinary approach from a number of computing domains including natural language processing machine learning big data and statistical methodologiesProvides insights into opinion spamming reasoning and social network analysisShows how to apply sentiment analysis tools for a particular application and domain and how to get the best results for understanding the consequencesServes as a onestop reference for the stateoftheart in social media analyticsTakes an interdisciplinary approach from a number of computing domains including natural language processing big data and statistical methodologiesProvides insights into opinion spamming reasoning and social network miningShows how to apply opinion mining tools for a particular application and domain and how to get the best results for understanding the consequencesServes as a onestop reference for the stateoftheart in social media analytics. Some Important . Techniques. Discussions: Based on Research Papers. Some Important Techniques. Some Important Techniques. Some Important Techniques. Merits and Limitations of Applied Techniques. Discussions: Based on Research Papers. BY,. SOWMYA KAMATH,. ANUSHA BAGAL KOTHKAR,. KUMARI POORNIMA,. SHIVAM PANDEY. AND. ASHESH KHANDELWAL. Introduction. Approaches to Sentiment Analysis. Sentiment Analysis Applications. Current development in Sentiment Analysis. Yuh. Day. 戴敏育. Assistant Professor. 專任助理教授. . Dept. of Information Management. , . Tamkang. University. 淡江大學.  . 資訊管理學系. http://mail. tku.edu.tw/. myday. /. 2016-11-01. Bing Liu. University Of Illinois at Chicago. liub@cs.uic.edu. KDD-2012 Summer School, August 10, 2012, . Beijing. , China . Bing Liu @ KDD-2012 Summer School, Aug 10, 2012, Beijing, China . Big Data Analytics. 社群運算與大數據分析. 1. 1052SCBDA08. MIS MBA (M2226) . (8606). Wed, 8,9, (15:10-17:00) (L206). Min-Yuh Day. 戴敏育. Assistant Professor. 專任助理教授. . Dept. of Information Management. David A. Schweidel. Goizueta. Business School. Emory University. October . 2012. What’s Trending on Social Media?. Agenda. Social Dynamics in Social Media Behavior. Why do people post a product opinion? What influences their posting behavior? (Moe and . 590AI. Some content from . Lada. . Adamic. Vocabulary Lesson. Actor. Relational Tie. parentOf. supervisorOf. reallyHates. ( /-). …. Dyad. Person. Group. Event. …. Relation. : collection of ties of a specific type (every . Awais. . Athar. . &. Simone . Teufel. Sentiment Analysis of Citations. Challenges in Citation Sentiment Analysis. Negative sentiment is ‘politically dangerous’. - (. Z. iman. , . 1968). Personal biases are h. McCarty. University of Florida. Books. Social Network Analysis: A Handbook. by John Scott, London: Sage (2000). . Social . Network Analysis: Methods and Applications. . Stanley Wasserman and Katherine Faust. Cambridge: Cambridge University Press (1994). . Positive or negative movie review?. unbelievably . disappointing . Full of . zany characters and richly applied satire, and some great plot . twists. this is the greatest screwball comedy ever . filmed. Slides from Bing Liu and Ronan Feldman. Introduction. Two main types of textual information. . Facts and Opinions. Note: factual statements can imply opinions too.. Most current text information processing methods (e.g., web search, text mining) work with factual information.. Positive or negative movie review?. unbelievably . disappointing . Full of . zany characters and richly applied satire, and some great plot . twists. this is the greatest screwball comedy ever . filmed. and opinion mining. ‹#›. Bettina Berendt. Department of Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt/. Vienna Summer School on Digital Humanities. July 7. th. Bettina Berendt. Department . o. f Computer Science. KU Leuven, Belgium. http://people.cs.kuleuven.be/~bettina.berendt. /. Summer School . Foundations and Applications of Social Network Analysis & Mining.