Corona virus is a deadly disease that has been spreading around the world for many years. COVID-19 is a new variant of coronavirus which causes its least attack as cold, fever and headache to its severe attack as breathing problems and death. Twitter is a social network tool where a large number of people communicate and express their feelings through tweets and posts in everyday life. Our task is to analyze the perception of people from all over the world during this pandemic. So, analyzing the sentiment of COVID-19 tweets will be one way to find out how people's emotions and the situations are in the world. This system uses various vectorizers, NLP and NLTK tools, which can be used while building various machine learning models for n-grams, and, consequently, to classify tweets into bi-class and tri-class. This system shows a maximum accuracy of 96.7%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Machine Learning based Twitter Sentiment Analysis on COVID-19


    Contributors:
    K, Nirmala Devi (author) / S, Shanthi (author) / K, Hemanandhini (author) / S, Haritha (author) / S, Aarthy (author)


    Publication date :

    2021-12-02


    Size :

    521495 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Survey on Sentiment Analysis using Twitter Dataset

    Wagh, Rasika / Punde, Payal | IEEE | 2018


    Machine Learning Approaches for Sentiment Analysis in Social Media Data

    Thenappan, S. / Krishnan, Anju R / Murugan, P. Sundara Bala et al. | IEEE | 2023


    Optimized Sentiment Analysis of Hotel Reviews using Machine Learning Algorithms

    Navanith, D / Likhith, Kona / Vardhan, Mandaloju Sai et al. | IEEE | 2022


    Machine Learning Approach to Analyze the Sentiment of Airline Passengers’ Tweets

    Wu, Shengyang / Gao, Yi | Transportation Research Record | 2023