Sentiment Classification and Opinion Mining Using News Wires and Microblogs
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Post Conference Workshop (iii) : Sentiment Classification and Opinion Mining Using News Wires and Microblogs
11 March, 2016, Singapore
13:30 - 17:30 hrs SST
Modern methods of Sentiment Classification go beyond machine learning to employ natural language processing, text analysis and computational linguistics and are proving extremely valuable when mining media such as News wires and Micro Blogs to determine whether the sentiment is positive/negative or neutral. These techniques lead to new insights which can be applied in myriad contexts, including finance, where they can be used to predict big events or market changes.
Presentations in this workshop show the value and applications of Sentiment Classification, for example by studying the many other useful signals in text: emotion, intent, speculation, risk, and other sentiments. Social relationships can also be managed to improve user-level sentiment analysis of microblogs; Sentiment classification in tweets by can be achieved by combining dictionary and supervised machine learning approaches.
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