Sentiment analysis of texts by capturing underlying sentiment patterns
Author:
Affiliation:
1. Computer Science Department, University of Kaiserslautern, Germany
2. Knowledge Management Department, DFKI, Kaiserslautern, Germany
Publisher
IOS Press
Subject
Artificial Intelligence,Computer Networks and Communications,Software
Reference38 articles.
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2. [2] S.A. Bahrainian, S.M. Bahrainian, M. Salarinasab and A. Dengel, Implementation of an Intelligent Product Recommender System in an e-Store, in: Proc. of the 6th International Conference on Active Media Technology (AMT’10), Toronto, Canada, Springer-Verlag, Berlin, Heidelberg, 2010, pp. 174–182.
3. [3] S.-A. Bahrainian and A. Dengel, in: 2013 IEEE/WIC/ACM International Joint Conferences on Sentiment Analysis Using Sentiment Features, Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Vol. 3, 17–20 Nov. 2013, pp. 26– 29.
4. [4] S.-A. Bahrainian and A. Dengel, in: 2013 IEEE 16th International Conference on Sentiment Analysis and Summarization of Twitter Data, Computational Science and Engineering (CSE), 3–5 Dec. 2013, pp. 227–234.
5. [5] M. Bautin, L. Vijayarenu and S. Skiena, International sentiment analysis for news and blogs, in: Second International Conference on Weblogs and Social Media (ICWSM 2008), Seattle, WA, 2008.
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