Amazon Review Sentiment Analysis Using Fasttext |
Author(s): |
| Abhishek S. Muskawad , Walchand College of Engineering, Sangli; Sohail M. Momin, Walchand College of Engineering, Sangli; Swaroop D. Sawadkar, Walchand College of Engineering, Sangli; Mr. Anil R. Surve, Walchand College of Engineering, Sangli |
Keywords: |
| Sentiment Analysis; Amazon; Product Reviews; FastText |
Abstract |
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Sentiment analysis refers to the process of extracting context from a text which helps a business to understand the social sentiment of their brand or product or service while monitoring online conversations. E-commerce has seen exponential growth in usage. There is a need to analyze the thousands of product reviews provided by the customers to gain proper insight into customers needs and it will help analyze market trends for any product. In this paper, we present a machine learning-based approach for classifying negative or positive sentiment from product reviews. |
Other Details |
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Paper ID: IJSRDV8I70205 Published in: Volume : 8, Issue : 7 Publication Date: 01/10/2020 Page(s): 301-303 |
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