G.R.S. Murthy,
L. Vidya Sri,
V. Prem Suraj,
K. Om,
U. Sathanand,
- Professor, Department of Computer Science Engineering, Gayatri Vidya Parishad College for Degree & PG Courses(A), Visakhapatnam, Andhra Pradesh, India
- Student, Department of Computer Science Engineering, Gayatri Vidya Parishad College for Degree & PG Courses(A), Visakhapatnam, Andhra Pradesh, India
- Student, Department of Computer Science Engineering, Gayatri Vidya Parishad College for Degree & PG Courses(A), Visakhapatnam, Andhra Pradesh, India
- Student, Department of Computer Science Engineering, Gayatri Vidya Parishad College for Degree & PG Courses(A), Visakhapatnam, Andhra Pradesh, India
- Student, Department of Computer Science Engineering, Gayatri Vidya Parishad College for Degree & PG Courses(A), Visakhapatnam, Andhra Pradesh, India
Abstract
The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer’s busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, so this platform is used for price comparison. The project name is price comparison with Sentimental Analysis where the users get the best deals on the products. To obtain the best deals from the websites we use web scrapping to fetch the data. It includes key features like displaying product details, specifications, price history, price alerts, multiple prices from various e-commerce websites, and a close comparison of similar products. The platform includes sentimental analysis to provide user opinions and sentiments related to products. With an easy interface and robust features, this website aims to drive inside shopping the experience is streamlined and empowers users with valuable information to make informed purchasing choices.
Keywords: Price comparison, sentiment analysis, similar products, price alerts, decisions, price history
[This article belongs to International Journal of Electronics Automation(ijea)]
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References
- Saurkar AV, Pathare KG, Gode SA. An overview of web scraping techniques and tools. International Journal on Future Revolution in Computer Science & Communication Engineering. 2018 Apr;4(4):363-7.
- Beranek L, Remes R. E-commerce network with price comparator sites. In 2019 9th International Conference on Advanced Computer Information Technologies (ACIT) 2019 Jun 5 (pp. 401-404). IEEE.
- Naga Chandrika G, Ramasubbareddy S, Govinda K, Swetha E. Web scraping for unstructured data over the web. InEmbedded Systems and Artificial Intelligence: Proceedings of ESAI 2019, Fez, Morocco 2020 (pp. 853-859). Springer Singapore.
- Nitha C Velayudhan Abinav Vijay P, Alisha P D,Chithira Remesh, Lakshmi C V E Commerce with Price Comparison, Price Alert, Fake Review System., 2021 IJCRT | Volume 9, Issue 5 May 2021.
- Bezalwar S, Bhandekar V, Kumbhare S, Rebhankar R, Singam P. E-COMMERCE PRICE COMPARISON WITH REVIEW SENTIMENTAL ANALYSIS.
- Moaiad Ahmad Khder, “Web Scraping or Web Crawling: State of Art, Techniques, Approaches and Application”, Int. J. Advance Soft Compu. Appl, Vol. 13, No. 3, November 2021 Print ISSN: 2710-1274
- NN Sakhare, SA Joshi, “Criminal Identification System Based on Data Mining” 3rd ICRTET, ISBN, Issue 978-93, Pages 5107-220, 2015
- NN Sakhare, SA Joshi, “Classification of criminal data using J48-Decision Tree algorithm” IFRSA International Journal of Data Warehousing & Mining, Vol. 4, 2014
- N Sakhare, SS Imambi, Technical Analysis Based Prediction of Stock Market Trading Strategies Using Deep Learning and Machine Learning Algorithms, International Journal of Intelligent Systems and Applications in Engineering, 2022, 10(3), pp. 411–42.
- Sakhare, N.N., Shaik, I.S., Saha,S.: Prediction of stock market movement via technical analysis of stock data stored on blockchain using novel History Bits based machine learning algorithm. IET Soft.1–12(2023). https://doi.org/10.1049/sfw2.1209212
Volume | 02 |
Issue | 01 |
Received | June 5, 2024 |
Accepted | August 20, 2024 |
Published | August 30, 2024 |