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Wireless Personal Communications

An Improved Lexicon Based Model for Efficient Sentiment Analysis on Movie Review Data

  • 21-04-2021
Published in:
Authors
Md. Sharif Hossen
Niloy Ranjan Dev
Published in
Wireless Personal Communications | Issue 1/2021

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Abstract

The article delves into the challenges and limitations of traditional lexicon-based sentiment analysis methods, particularly in the context of movie review data. It introduces an innovative lexicon-based model that enhances accuracy by addressing specific shortcomings of existing approaches. The proposed model leverages advanced techniques such as customized mathematical formulas and special value assignments for sentiment-reversing words. The article compares the performance of the proposed model with traditional methods, demonstrating a significant improvement in accuracy. It also highlights the potential for future applications in ensuring social security by identifying offensive and abusive language. The detailed methodology and empirical results make this article a valuable resource for professionals in the field of natural language processing and sentiment analysis.
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Title
An Improved Lexicon Based Model for Efficient Sentiment Analysis on Movie Review Data
Authors
Md. Sharif Hossen
Niloy Ranjan Dev
Publication date
21-04-2021
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08474-4
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