TY - GEN
T1 - Feature selection for improving opinion identification from web authors' posts
AU - Koumpouri, Athanasia
AU - Mporas, Iosif
AU - Megalooikonomou, Vasileios
PY - 2015/10/1
Y1 - 2015/10/1
N2 - In the present article, we address the problem of automatic opinion identification of web users from movie reviews. Specifically, relying on six well-known machine learning algorithms, we investigate the effectiveness of feature selection in the improvement of the accuracy of opinion identification. The feature ranking is performed over a set of statistical, part-ofspeech tagging and language model based features. In the experiments, we employed classification models based on decision trees, support vector machines and lazy-learning algorithms. The experimental evaluation performed on the publicly available Polarity Dataset v2.0 demonstrated that feature selection significantly improves the accuracy of opinion identification regardless of the type of machine learning algorithm used.
AB - In the present article, we address the problem of automatic opinion identification of web users from movie reviews. Specifically, relying on six well-known machine learning algorithms, we investigate the effectiveness of feature selection in the improvement of the accuracy of opinion identification. The feature ranking is performed over a set of statistical, part-ofspeech tagging and language model based features. In the experiments, we employed classification models based on decision trees, support vector machines and lazy-learning algorithms. The experimental evaluation performed on the publicly available Polarity Dataset v2.0 demonstrated that feature selection significantly improves the accuracy of opinion identification regardless of the type of machine learning algorithm used.
KW - Feature ranking
KW - Feature selection
KW - Opinion classification
KW - Opinion mining
KW - Sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=84962620037&partnerID=8YFLogxK
U2 - 10.1145/2801948.2802026
DO - 10.1145/2801948.2802026
M3 - Conference contribution
AN - SCOPUS:84962620037
T3 - ACM International Conference Proceeding Series
SP - 117
EP - 122
BT - Proceedings - 19th Panhellenic Conference on Informatics, PCI 2015
A2 - Akoumianakis, Demosthenes
A2 - Karanikolas, Nikitas N.
A2 - Nikolaidou, Mara
A2 - Xenos, Michalis
A2 - Vergados, Dimitris
PB - ACM Press
T2 - 19th Panhellenic Conference on Informatics, PCI 2015
Y2 - 1 October 2015 through 3 October 2015
ER -