Sentiment Analysis on Amazon Product Review

Title

Sentiment Analysis on Amazon Product Review

Creator

Kamalesh B.; Vijayalakshmi S.

Description

Users throughout the world may now access massive amounts of data thanks to the internet and social media platforms. [5] In every facet of human existence, electronic commerce (e-commerce) plays a crucial role. E-commerce is a marketing approach that enables businesses and consumers to buy and sell things via the internet. When buyers look for product information and compare alternatives online, they generally have access to dozens or hundreds of product reviews from alternative shoppers. Machine learning is the most appropriate approach to training a neural network in today's age of practical artificial intelligence. So implementing a model to polarize those reviews and learn from them would make passing hundreds of comments a lot easier. [24] The interpretation will be a very basic product with positive, neutral, and negative polarization. The product is checked. This study suggests a sentiment evaluation model for shopper reviews based on the object and emotive word mining for emotional level analysis using machine learning approaches. 2022 IEEE.

Source

Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 846-848.

Date

2022-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Machine Learning; Natural Language Processing; Sentiment Analysis

Coverage

Kamalesh B., Christ (Deemed to Be University), Data Science, Pune, India; Vijayalakshmi S., Christ (Deemed to Be University), Data Science, Pune, India

Rights

Restricted Access

Relation

ISBN: 978-166547436-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICAC3N56670.2022.10074287

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