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