Paper Title
Document Sentiment Analysis Using Opinion Mining with Machine Learning Techniques
Article Identifiers
Authors
SHIVANI DUBEY
Keywords
Opinion Mining, Sentiment Analysis, Machine Learning
Abstract
Our research aims to shift the focus of sentiment analysis from the product itself to the opinions expressed by users. Existing systems tend to prioritize the product, rather than the sentiments conveyed by users in their reviews. By leveraging natural language processing, text analysis, and computational linguistics techniques, your research intends to semantically analyze and mine user reviews for a given product. The goal is to extract subjective information, identify hidden sentiments, and generate a summarization of the quality and features of the product. This approach will provide a more comprehensive understanding of user opinions and preferences related to the product.
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How To Cite (APA)
SHIVANI DUBEY (May-2023). Document Sentiment Analysis Using Opinion Mining with Machine Learning Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g436-g439. https://ijnrd.org/papers/IJNRD2305655.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : g436-g439
Other Publication Details
Paper Reg. ID: IJNRD_195899
Published Paper Id: IJNRD2305655
Downloads: 000121977
Research Area: Engineering
Country: Graeter Noida, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305655.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305655
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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