ANALYSIS OF REVIEW FOR AN ORIGINAL STAR-RATING
M. Sumithra
, Z. Badhrunnisha , A.Abisha , J.Asancia , R.Abirami
Sentiment Analysis, Product review analysis, Vader Sharp, Sentiment Intensity Analyzer, Sentiment Visualisation, Polarity scores, hidden sentiments
Consumers can now create enormous amounts of data in the form of text comments or experiences thanks to the social web. frequently have a tendency to rely solely on such text when it comes to making decisions about the use of a particular product. In order to achieve this desired level of functionality, sentiment analysis is utilized. ln this research, we provide a sophisticated sentiment analysis approach for product ratings. This system analyzes the text comments left by users to determine whether or not they contain positive or negative sentiments and then assigns a Polarity Score to each review. Our website is made up of two different panels: both the Admin panel and the User panel. The user must view the product in order to remark on it or to provide their insightful ratings. needs to be registered. Because only authenticated or trusted users are able to provide reviews for products on the site, the site provides genuine user ratings, which in turn assists users in determining whether or not the product is worthwhile to purchase. The final evaluation of the product's star rating will be based on an average calculation using all of the ratings. The job of the administrator is to read the comments left by registered users, make changes to the products, and organize them into categories according to brand, size, color, and category (men, women or kids). A graphical bar representation of product reviews that are categorized as either positive or negative can be generated by using sentiment analysis.
"ANALYSIS OF REVIEW FOR AN ORIGINAL STAR-RATING ", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.294-297, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001045.pdf
Volume 11
Issue 2,
February-2024
Pages : 294-297
Paper Reg. ID: TIJER_151004
Published Paper Id: TIJERB001045
Downloads: 000277
Research Area: Science and Technology
Country: THIRUVALLUR, TAMILNADU, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
