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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Authors
Sarthak Santosh Bhandare,Tanaya Prashant Korhalkar,Swamini Prashant Khardekar,Suparna Shirish Naik
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Keywords
Machine Learning, Social Media, Text Mining, Text Classification, Sentiment Analysis, and Online Reviews
Abstract
Product reviews and ratings are frequently used by consumers to determine which products to trust. Reviews can affect the profile of a business or a brand. The business must investigate consumer responses to its items. Popular reviews, however, are challenging to organize and track. In social media, many public viewpoints are difficult to manually process. The next step is to develop a mechanism for automatically categorizing favorable and negative public feedback. Customers will be able to see how the product performs in terms of consistency, efficiency, and guidance, which will provide prospective buyers a better knowledge of the product. The applicability of web assessments from suppliers in order to fulfill client requirements by evaluating beneficial input is one such unfulfilled possibility. Good and bad reviews are important in determining customer demands and gathering product feedback from customers. Sentiment Analysis is a type of computer analysis that collects contextual information from text. A large number of internet mobile phone ratings are studied in this study. We divided the text into positive and negative categories, as well as feelings of disappointment, expectation, disgust, trepidation, delight, regret, surprise, and confidence. This clearly defined category of feedback aids in a comprehensive evaluation of the product, allowing consumers to make better decisions.
IJCRT's Publication Details
Unique Identification Number - IJCRT2304767
Paper ID - 234931
Author type - Indian Author
Page Number(s) - g100-g105
Pubished in - Volume 11 | Issue 4 | April 2023
DOI (Digital Object Identifier) -
No Of Downloads - 115
Author Country - India, 411043, Pune, Pune, 411043, Science and Technology
Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882
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Sarthak Santosh Bhandare,Tanaya Prashant Korhalkar,Swamini Prashant Khardekar,Suparna Shirish Naik, "Efficient Spam Review Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.g100-g105, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304767.pdf
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The International Journal of Creative Research Thoughts (IJCRT) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies.
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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