A Hybrid Approach to Sentiment Analysis

Date
2016
Authors
Appel, Orestes
Chiclana, Francisco
Carter, Jenny
Fujita, Hamido
Journal Title
Journal ISSN
ISSN
Volume Title
Publisher
IEEE
Peer reviewed
Yes
Abstract
This contribution presents a hybrid approach to Sentiment Analysis (SA) encompassing the use of semantic rules, fuzzy sets, unsupervised machine learning techniques and a sentiment lexicon improved with the support of Senti-WordNet. A Hybrid Standard Classification is first carried out, which is further enhanced into a Hybrid Advanced approach incorporating linguistic classification of semantic polarity modelled using fuzzy sets. The mechanism of the new SA methodology is illustrated by applying it to compute the polarity of a given sentence and to a benchmarking publicly available dataset: the Movie Review Dataset.
Description
Keywords
Citation
Appel, O., Chiclana, F., Carter, J. and Fujita, H. (2016) A Hybrid Approach to Sentiment Analysis. Accepted for presentation at the IEEE CEC 2016 (WCCI 2016)
Research Institute
Institute of Artificial Intelligence (IAI)