Twitter based sentimental analysis of Covid-19 observations

被引:3
作者
Vijayaraj, A. [1 ]
Bhavana, K. [1 ,2 ]
SreeDurga, S. [1 ,2 ]
Naik, S. Lokesh [2 ]
机构
[1] Vignans Fdn Sci Technol & Res, Dept Informat Technol, Guntur 522213, Andhra Pradesh, India
[2] MLR Inst Technol, Dept Comp Sci & Engn, Hyderabad, India
关键词
Social media; Sentimental analysis; Corona pandemic; Twitter; Polarity; Emotion;
D O I
10.1016/j.matpr.2022.05.194
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The emergence of social media has provided people with the opportunity to express their feelings and thoughts about everything and everything in their lives. There is a massive amount of textual stuff available, and approaches are required to make meaningful use of the information provided by isolating and evaluating the different types of text. Sentimental Analysis is a method of obtaining a human being's point of view through mining his or her emotions. The entire world is sharing their thoughts on social media on the Corona Pandemic that is now underway. This research presents an analysis of attitudes in order to determine whether or not people are optimistic in the face of a difficult circumstance. The technique of polarity is employed by the paper in order to determine if an opinion is positive, negative, or nonpartisan [1]. In order to determine the polarity, the following three major keywords are used: "COVID", "Corona virus," and "COVID-19." Copyright (C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页码:713 / 719
页数:7
相关论文
共 50 条
  • [31] Twitter sentiment and stock market: a COVID-19 analysis
    Katsafados, Apostolos G.
    Nikoloutsopoulos, Sotirios
    Leledakis, George N.
    JOURNAL OF ECONOMIC STUDIES, 2023, 50 (08) : 1866 - 1888
  • [32] Twitter sentiment analysis for COVID-19 associated mucormycosis
    Singh, Maneet
    Dhillon, Hennaav Kaur
    Ichhpujani, Parul
    Iyengar, Sudarshan
    Kaur, Rishemjit
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2022, 70 (05) : 1773 - +
  • [33] COVID-19 pandemic and information diffusion analysis on Twitter
    Dinh L.
    Parulian N.
    Proceedings of the Association for Information Science and Technology, 2020, 57 (01)
  • [35] An analysis of attitude of general public toward COVID-19 crises - sentimental analysis and a topic modeling study
    Praveen, S., V
    Ittamalla, Rajesh
    INFORMATION DISCOVERY AND DELIVERY, 2021, 49 (03) : 240 - 249
  • [36] Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities
    Su, Yihua
    Venkat, Aarthi
    Yadav, Yadush
    Puglisi, Lisa B.
    Fodeh, Samah J.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 132 (132)
  • [37] Sentimental Knowledge Graph Analysis of the COVID-19 Pandemic Based on the Official Account of Chinese Universities
    Li, Xiaolin
    Li, Zhiyi
    Tian, Yahe
    ELECTRONICS, 2021, 10 (23)
  • [38] Indian Healthcare Infrastructure Analysis during COVID-19 using Twitter Sentiments
    Fatima, Noor
    Belal, Mohd
    Kumar, Kaushal
    Sadaf, Rumi
    2022 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATIONS (DASA), 2022, : 270 - 274
  • [39] Mental Health and the COVID-19 Pandemic: Analysis of Twitter Discourse Completed Research
    El-Gayar, Omar
    Wahbeh, Abdullah
    Nasralah, Tareq
    Elnoshokaty, Ahmed
    Al-Ramahi, Mohammad
    DIGITAL INNOVATION AND ENTREPRENEURSHIP (AMCIS 2021), 2021,
  • [40] Public perception of COVID-19 vaccines through analysis of Twitter content and users
    Saleh, Sameh N.
    McDonald, Samuel A.
    Basit, Mujeeb A.
    Kumar, Sanat
    Arasaratnam, Reuben J.
    Perl, Trish M.
    Lehmann, Christoph U.
    Medford, Richard J.
    VACCINE, 2023, 41 (33) : 4844 - 4853