Overall and Feature Level Sentiment Analysis of Amazon Product Reviews Using Machine Learning Techniques and Web-Based Chrome Plugin

Welgamage, V. R.; Senarathne, U. A. C.; Madhubhashani, N. H. A. C.; Liyanage, T. C.; Dinesh Asanka, P. P. G.

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dc.contributor.author	Welgamage, V. R.
dc.contributor.author	Senarathne, U. A. C.
dc.contributor.author	Madhubhashani, N. H. A. C.
dc.contributor.author	Liyanage, T. C.
dc.contributor.author	Dinesh Asanka, P. P. G.
dc.date.accessioned	2022-10-31T09:24:16Z
dc.date.available	2022-10-31T09:24:16Z
dc.date.issued	2022
dc.identifier.citation	Welgamage V. R.; Senarathne U. A. C.; Madhubhashani N. H. A. C.; Liyanage T. C.; Dinesh Asanka P. P. G. (2022), Overall and Feature Level Sentiment Analysis of Amazon Product Reviews Using Machine Learning Techniques and Web-Based Chrome Plugin, International Research Conference on Smart Computing and Systems Engineering (SCSE 2022), Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka. 205-210.	en_US
dc.identifier.uri	http://repository.kln.ac.lk/handle/123456789/25429
dc.description.abstract	One of the critical tasks of Natural Language Processing (NLP) is sentiment analysis or opinion mining. Sentiment analysis has gained much attention in recent years. It collects data on each user's views, feelings, and opinions regarding a particular product to determine whether they have a positive, neutral, or negative attitude toward it. This study aims to address the categorising sentiment polarity, which is one of the essential issues in sentiment analysis and with extensive process descriptions. The key contribution of this study is to introduce feature-wise sentiment analysis for online products considering the customer reviews and star ratings using the modified web-based chrome plugin. Finally, we share some insight into our future sentiment analysis efforts. The research was based on the categorisation of sentiment polarity in online product reviews from Amazon.com	en_US
dc.publisher	Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka	en_US
dc.subject	classification, feature review, Natural Language Processing (NLP), polarity, product review, sentiment analysis, web-based chrome plugin	en_US
dc.title	Overall and Feature Level Sentiment Analysis of Amazon Product Reviews Using Machine Learning Techniques and Web-Based Chrome Plugin	en_US