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Sentiment Analysis on Online Product Reviews

  • Published:2019-06-26 Issue: Volume: Page:559-569
  • ISSN:2194-5357
  • Container-title:Information and Communication Technology for Sustainable Development
  • language:
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Author:

Bose Rajesh,Dey Raktim Kumar,Roy Sandip,Sarddar Debabrata

Publisher

Springer Singapore

Reference40 articles.

1. Wang, W., Wang, H., Song, Y.: Ranking product aspects through sentiment analysis of online reviews. J. Exp. Theo. AI. 29, 227–246 (2017)

2. Waldron, M.: Building a text analysis process for customer reviews in RapidMiner. AYLIEN (2016)

3. Spiewanowaski, P.: How to Visualize and Analyze Customer Feedback. uxBOOTH (2016)

4. Aswani, S.: Analyzing Customer Feedback Data: Manual Analysis vs NLP. CLARABRIDGE (2017)

5. Luminoso.: Customer Feedback and Artificial Intelligence. White Paper (2016)

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2. Semantic Analysis of Reviews About Organizations Using Machine Learning Methods;Modelling and Data Analysis;2024-04-11

3. Sentiment analysis methods, applications, and challenges: A systematic literature review;Journal of King Saud University - Computer and Information Sciences;2024-04

4. Aspect-Level Sentiment Analysis Review: Recent Advances and Trends;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

5. OPEN-AMZPRE : Optimized Preprocessing with Ensemble Classification for Amazon Product Reviews Sentiment Prediction;International Journal of Scientific Research in Science and Technology;2023-12-01
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