Sentiment Analysis based on Specific Dictionary and Sentence Analysis

DOI

10.2991/emehss-17.2017.2How to use a DOI?

Keywords

Sentiment Analysis; Knowledge Presentation; Nature Language Processing; Domain Dictionary.

Abstract

Objective or negative. In this work, we apply a simple method to adapt a general purpose polarity lexicon to a specific domain. We propose and evaluate new features to be used in a word polarity based approach to sentiment classification. We consider different aspects of sentences, such as length, purity and position within the opinionated text. This analysis is then used to find sentences that may convey better information about the overall review polarity. We use a subset of hotel reviews from the TripAdvisor database to evaluate the effect of sentence-level features on sentiment classification. Then, we measure the performance of our sentiment analysis engine using the domain-adapted lexicon on a large subset of the TripAdvisor database.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xinyue Wang
AU  - Cheng Ding
AU  - Wenxi Zheng
AU  - Min Wu
PY  - 2017/04
DA  - 2017/04
TI  - Sentiment Analysis based on Specific Dictionary and Sentence Analysis
BT  - Proceedings of the 2017 International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2017)
PB  - Atlantis Press
SP  - 6
EP  - 10
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-17.2017.2
DO  - 10.2991/emehss-17.2017.2
ID  - Wang2017/04
ER  -