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Title: :  Product reviews and sentiment analysis using machine learning
PaperId: :  16952
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-16952
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. D. S. ShingateMatoshri college of engineering and research centre, Nashik, Maharashtra, India
Harshada GodseMatoshri college of engineering and research centre, Nashik, Maharashtra, India
Snehal ShindeMatoshri college of engineering and research centre, Nashik, Maharashtra, India
Ankita KshirsagarMatoshri college of engineering and research centre, Nashik, Maharashtra, India
Vidya KaleMatoshri college of engineering and research centre, Nashik, Maharashtra, India

Abstract

Computer Engineering
Sentiment analysis, social media, Twitter, tweets
Natural language processing, opinion mining, text summarization, and other related research fields are hot right now. Sentiment analysis or opinion mining utilizes many NLP techniques and tools to analyze unstructured data in order to obtain people's emotions toward specific entities. Essentially, these strategies allow a system to understand what humans are saying. Sentiment analysis employs many ways to detect the sentiment of a text or sentence [1]. People communicate their subjective opinions and experiences with one another on various online platforms. Obtaining relevant information on a product can be a time-consuming process. Companies may be unaware of all of their customers' needs. Product reviews can be used to determine how people feel about a particular topic. However, because these are lengthy, a summary of positive and negative reviews is required. The main focus of this paper is a study of the methods and techniques used to extract a feature-wise summary of the product and analyze it to generate an accurate review. More product review websites will be included in the future, as well as higher-level natural language processing jobs. Using the best and most innovative strategies or tools. for more accurate results, the system excepts only those keywords in the dataset and eliminates the rest of the terms.

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IJARIIE Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. "Product reviews and sentiment analysis using machine learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 2116-2120
MLA Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. "Product reviews and sentiment analysis using machine learning." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 2116-2120.
APA Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, & Vidya Kale. (2022). Product reviews and sentiment analysis using machine learning. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 2116-2120.
Chicago Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. "Product reviews and sentiment analysis using machine learning." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 2116-2120.
Oxford Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. 'Product reviews and sentiment analysis using machine learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 2116-2120. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Product_reviews_and_sentiment_analysis_using_machine_learning_ijariie16952.pdf (Accessed : 06 October 2022).
Harvard Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. (2022) 'Product reviews and sentiment analysis using machine learning', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 2116-2120IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Product_reviews_and_sentiment_analysis_using_machine_learning_ijariie16952.pdf (Accessed : 06 October 2022)
IEEE Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale, "Product reviews and sentiment analysis using machine learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 2116-2120, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/Product_reviews_and_sentiment_analysis_using_machine_learning_ijariie16952.pdf [Accessed : 06 October 2022].
Turabian Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. "Product reviews and sentiment analysis using machine learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (06 October 2022).
Vancouver Prof. D. S. Shingate, Harshada Godse, Snehal Shinde, Ankita Kshirsagar, and Vidya Kale. Product reviews and sentiment analysis using machine learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 06 October 2022]; 8(3) : 2116-2120. Available from: https://ijariie.com/AdminUploadPdf/Product_reviews_and_sentiment_analysis_using_machine_learning_ijariie16952.pdf
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