Extracting sentiments from reviews: A lexicon-based approach

In last decade, the field of information extraction and retrieval has increased exponentially. Sentiment analysis is a task to identify the polarity of given content. Extracting the useful content from the opinion sources becomes a challenging task. This paper used lexicon based approach for classif...

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Bibliographic Details
Published in2017 1st International Conference on Intelligent Systems and Information Management (ICISIM) pp. 38 - 43
Main Authors Sonawane, Sujata L., Kulkarni, Pallavi V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Data mining
Digital cameras
Lexicon Approach
Motion pictures
Semantics
Sentiment analysis
Sentimental Score
SentiWordNet
Tagging
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Summary:In last decade, the field of information extraction and retrieval has increased exponentially. Sentiment analysis is a task to identify the polarity of given content. Extracting the useful content from the opinion sources becomes a challenging task. This paper used lexicon based approach for classifying a review document as positive, negative or neutral. This paper extracts the sentiments from customer reviews and SentiWordNet is used to assign the polarity to each sentiment. The classification of review document is predicted by sentimental score.
DOI:10.1109/ICISIM.2017.8122144