Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis - Computational Intelligence in Data Science
Conference Papers Year : 2022

Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis

Abstract

Online shopping is used widely by all the people across the world. Only due to that the sites of e-commerce is receiving more review about the products which includes positive, negative and neutral reviews about the product purchased by the people. Those reviews would help the peer customer to know about the quality of the product and to suggest the best one to purchase. Similarly, this paper is focused on analyzing the reviews of the mobile phone purchased on the amazon website and gives a graphical analysis of all reviews given after each purchase of the mobile phone and this analysis could help the customers to easily identify the best mobile phone. In future such analysis would be helpful for the amazon mobile phone buyers to make a better purchase. The exploratory data analysis is made with amazon review dataset which visualizes the review data and analysis of star rating, features rating of each mobile phones. The overall review of the product is also mapped using EDA.
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Wednesday, January 1, 2025
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Wednesday, January 1, 2025
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hal-04381290 , version 1 (09-01-2024)

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S. Suhasini, Vallidevi Krishnamurthy. Text Mining Amazon Mobile Phone Reviews: Insight from an Exploratory Data Analysis. 5th International Conference on Computational Intelligence in Data Science (ICCIDS), Mar 2022, Virtual, India. pp.345-355, ⟨10.1007/978-3-031-16364-7_27⟩. ⟨hal-04381290⟩
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