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Reseach Article

Harnessing Flask for Web Scraping and Sentiment Analysis: A Comprehensive Application for News and E-Commerce Reviews

by Geeta Hanji, Akhil B. Menon, Akshay R., Amit Patil, Basavaraj Nandeni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 16
Year of Publication: 2023
Authors: Geeta Hanji, Akhil B. Menon, Akshay R., Amit Patil, Basavaraj Nandeni
10.5120/ijca2023922868

Geeta Hanji, Akhil B. Menon, Akshay R., Amit Patil, Basavaraj Nandeni . Harnessing Flask for Web Scraping and Sentiment Analysis: A Comprehensive Application for News and E-Commerce Reviews. International Journal of Computer Applications. 185, 16 ( Jun 2023), 49-53. DOI=10.5120/ijca2023922868

@article{ 10.5120/ijca2023922868,
author = { Geeta Hanji, Akhil B. Menon, Akshay R., Amit Patil, Basavaraj Nandeni },
title = { Harnessing Flask for Web Scraping and Sentiment Analysis: A Comprehensive Application for News and E-Commerce Reviews },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2023 },
volume = { 185 },
number = { 16 },
month = { Jun },
year = { 2023 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number16/32783-2023922868/ },
doi = { 10.5120/ijca2023922868 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:17.078810+05:30
%A Geeta Hanji
%A Akhil B. Menon
%A Akshay R.
%A Amit Patil
%A Basavaraj Nandeni
%T Harnessing Flask for Web Scraping and Sentiment Analysis: A Comprehensive Application for News and E-Commerce Reviews
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 16
%P 49-53
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the popularity and growing availability of opinion rich sources such as reviews from e-commerce sites, choosing the right product from huge product brands is difficult for the user. In order to enhance the sales and customer satisfaction, most of the sites provide opportunity for the users to write review aspects about the product. These reviews are in text format and increase day by day. It is difficult for the user and manufacturers to understand the likes and dislikes of a customer with regard to the product. In this situation sentiment analysis helps the people to analyse the reviews and come to conclusion whether it is good or bad. Sentiment Analysis which is also known as opinion mining is one of the subsection in Natural Language processing in which it learns about sentiment or subjectivity from reviews. The main purpose of the project is to develop a system to extract the reviews from e-commerce site, extract aspect from the reviews and categorize reviews into positive and negative. In this project, the application developed will accept the URL from the user and then ask for the option to be selected. The user can then select whether he/she wants to scrape the news article or the reviews from the blogs or the e-commerce sites. Then the sentiment analysis can be done to get the sentiment of the writer

References
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Index Terms

Computer Science
Information Sciences

Keywords

Web Data Extraction Web Scraping Selenium NLTK Corpa TextRank algorithm Sentiment Analysis.