作者
Deepa Rani, Rajeev Kumar, Naveen Chauhan
发表日期
2022/10/3
研讨会论文
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)
页码范围
1-6
出版商
IEEE
简介
Reviews on products and movies play an important role in predicting and formulating business strategies. Entertainment media, E-commerce, and social media use customers’ reviews to analyze customers’ requirements and level of satisfaction with the product. Business Analyst uses Sentiment Analysis for analyzing the attitude of the users from their reviews. E-commerce websites, entertainment and social media posts, tweets, comments, reviews, status, etc are the major sources of sentiment data (reviews). In the review system, users give the rating on a predefined scale of (1-5) i.e lowest to highest in terms of their satisfaction. As sentiment Analysis is one of the major applications of Machine Learning and machine learning deals with numeric data, so, textual-based review data needs to be converted into numeric data. Conversion of text to numeric form requires a large amount of memory and it is time-consuming …
引用总数
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D Rani, R Kumar, N Chauhan - 2022 13th International Conference on Computing …, 2022