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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21686
Article Published : 8549
Total Authors : 22487
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Sentimental Analysis Of Product Review using Machine Learning |
| Authors Name: | Mauli Hirappa Karche , Swamini E Chavan , Archana D Ambhure , Tushar A Kolhe , Vinita Kute |
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IJRTI_203022
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| Published Paper Id: | IJRTI2505252 |
| Published In: | Volume 10 Issue 5, May-2025 |
| DOI: | |
| Abstract: | The rapid growth of e-commerce platforms has generated vast amounts of customer reviews, making it difficult for businesses and consumers to extract meaningful insights from unstructured feedback. This research introduces an automated Amazon Review Analyzer that uses NLP and sentiment analysis to extract insights from customer reviews. The system classifies sentiments (positive/negative/neutral), tracks rating trends, and compares products using interactive visualizations. The tool helps businesses and consumers make data-driven decisions by summarizing large volumes of reviews efficiently. Its modular design allows customization for different e-commerce platforms beyond Amazon. By identifying frequently occurring keywords in reviews, the system highlights key strengths and weaknesses of products, aiding businesses in decision-making and helping consumers make informed purchasing choices. Experimental results demonstrate its effectiveness in summarizing large-scale review datasets, providing actionable insights for stakeholders in the e-commerce ecosystem. The modular architecture ensures flexibility, allowing for further enhancements in sentiment analysis and data visualization techniques. |
| Keywords: | Amazon Review Analyzer, Sentiment Analysis, Natural Language Processing (NLP), Customer Reviews, E-commerce Analytics, Product Comparison, Data Visualization, Python ,Pandas, Trend Analysis, Keyword Extraction, Opinion Mining, Machine Learning. |
| Cite Article: | "Sentimental Analysis Of Product Review using Machine Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c451-c455, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505252.pdf |
| Downloads: | 000403 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2505252
Registration ID:203022
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c451-c455 Country: pune, Maharashtra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505252 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505252 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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