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New Avenues in Opinion Mining and Sentiment Analysis
March-April 2013 (vol. 28 no. 2)
pp. 15-21
Erik Cambria, National University of Singapore
Bjorn Schuller, Technical University of Munich
Yunqing Xia, Tsinghua University
Catherine Havasi, Massachusetts Institute of Technology
The distillation of knowledge from the Web—also known as opinion mining and sentiment analysis—is a task that has recently raised growing interest for purposes such as customer service, predicting financial markets, monitoring public security, investigating elections, and measuring a health-related quality of life. This article considers past, present, and future trends of sentiment analysis by delving into the evolution of different tools and techniques—from heuristics to discourse structure, from coarse- to fine-grained analysis, and from keyword- to concept-level opinion mining.
Index Terms:
Semantics,Pragmatics,Intelligent systems,Natural language processing,Context awareness,Market research,Data mining,Information analysis,Intelligent systems,Knowledge discovery,Natural language processing,sentiment analysis,Semantics,Pragmatics,Intelligent systems,Natural language processing,Context awareness,Market research,Data mining,Information analysis,Intelligent systems,Knowledge discovery,Natural language processing,intelligent systems,AI,NLP,opinion mining
Citation:
Erik Cambria, Bjorn Schuller, Yunqing Xia, Catherine Havasi, "New Avenues in Opinion Mining and Sentiment Analysis," IEEE Intelligent Systems, vol. 28, no. 2, pp. 15-21, March-April 2013, doi:10.1109/MIS.2013.30
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