Title :
New Avenues in Opinion Mining and Sentiment Analysis
Author :
Cambria, Erik ; Schuller, Bjorn ; Yunqing Xia ; Havasi, C.
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
The Web holds valuable, vast, and unstructured information about public opinion. Here, the history, current use, and future of opinion mining and sentiment analysis are discussed, along with relevant techniques and tools.
Keywords :
Internet; data mining; Web; opinion mining; public opinion; sentiment analysis; Context awareness; Data mining; Information analysis; Intelligent systems; Knowledge discovery; Market research; Natural language processing; Pragmatics; Semantics; AI; Context awareness; Data mining; Information analysis; Intelligent systems; Knowledge discovery; Market research; NLP; Natural language processing; Pragmatics; Semantics; intelligent systems; opinion mining; sentiment analysis;
Journal_Title :
Intelligent Systems, IEEE
DOI :
10.1109/MIS.2013.30
