Lexicon-based Sentiment Analysis of Tweets on Food Delivery Services

Authors: C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, S. Arun

Country: India

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Abstract: People often check online reviews before deciding on a product, restaurant, movie, hotel, itinerary, etc. Therefore, sentiment or opinion analysis is often required for practical use. Information gathered through Tweets is helpful for getting opinions on many issues, and Twitter is the most popular platform among various resources. Therefore, in this work, a sentiment analysis approach is used to collect data from participants.

Keywords: Sentiment Analysis, Food Delivery Companies, Swiggy, Zomato, Twitter, Lexicon-based Analysis

Paper Id: 230082

Published On: 2023-04-30

Published In: Volume 11, Issue 2, March-April 2023

Cite This: Lexicon-based Sentiment Analysis of Tweets on Food Delivery Services - C. Rajeshkumar, K. Ruba Soundar, M. Vargheese, G. Nallasivan, S. Arun - IJIRMPS Volume 11, Issue 2, March-April 2023.

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