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SENTIMENTAL ANALYSIS OF PRODUCT REVIEWS
CS 354N : Computational Intelligence

Sentimental Analysis of Product Review


PRODUCT REVIEW

The promotion of brands to connect with potential customers using the internet and other forms of digital communication. Sentiment analysis of product reviews, an application problem, has recently become very popular in text mining and computational linguistics research. It uses natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and personal information.

In this project, we want to study the correlation between the Amazon product reviews and the rating of the products given by the customers.

0
SVM
0
KNN
0
Naive Bayes

Meet Our Team


Garvit Galgat
190001016
Kuldeep Singh
190001030
Somya Mehta
190001058

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Copyright © 2022 CI | Sentimental Analysis of Product™

Made withby Group - 14

About Us

What We Do ?


FIRST

First of all we will analyze the data and preprocess it to make it suitable for our model. For ex. remove any null values present in any columns or remove any unreachable links present in the images columns.

SECOND

After preprocessing, we will be creating different models specific to algorithms. We have used KNN, SVM and Naive Bayes algorithm.

THIRD

By comparing the results from these different algorithms we can also create a fraud review detection system

Copyright © 2022 CI | Sentimental Analysis of Product™

Made withby Group - 14

What we do?

Our Latest Works


Copyright © 2022 CI | Sentimental Analysis of Product™

Made withby Group - 14

Models

Testing the Model


SENTIMENTAL ANALYSIS OF PRODUCT REVIEWS

In this project, we study the correlation between the product reviews and the rating of the products given by the customers.

Sentiment:


Copyright © 2022 CI | Sentimental Analysis of Product™

Made withby Group - 14

Testing