Sentiment Analysis on Indian Government Schemes Using Twitter data

Rekha, V.B.; Raksha, R; Patil, Pradnya; Swaras, N; Rajat, G L

doi:10.1109/icondsc.2019.8817036

Cited by 8 publications

(3 citation statements)

References 1 publication

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“…Annotation and data preparation tools for general use were developed to facilitate the development of lexical resources and SA datasets for the smart government application domain. The research on Sentiment Analysis on Indian Government Schemes Using Twitter data (Rekha, Raksha, Patil, Swaras, & Rajat, 2019), utilizes data from Twitter by using the Python language code followed by a cleansing process then the creation of words appears. Previous research has been conducted able to increase the knowledge and use of social media in disaster management, and the benefits have been felt.…”

Section: Literature Reviewmentioning

confidence: 99%

Content Analysis of Social Media: Public and Government Response to COVID-19 Pandemic in Indonesia

Akbar

Kurniadi

Nurliawati³

2021

JSP

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Nowadays, the use of social media to analyze disaster responses has become important. However, its application to support decision-making by the Government during disasters still present significant challenges. This article offers a complete analysis of the response of the public and the Government in dealing with the COVID-19 Pandemics in Indonesia. The content analysis uses to analyze the tweet post on Twitter to determine the public and government response. Data was collected from public and government tweets on Twitter and producing 11,578 community tweets from the public and 958 tweets from the government account. This data was collected from 2nd March until 15th April 2020. Public comments are sorted into six categories of comments, that is fate, logic, government mention, worry, scientist, and impression, while sentiments are classified as positive, negative, and neutral. Government comments are sorted into eight categories, namely information, education, operating, warnings, resources provision, volunteer recruitment, and rumors management. The results showed that the public encourages and supports the Government to cope with a pandemic think rationally and logically in dealing with this Pandemic. In addition, the study indicates that the Government has not used social media as a medium for communicating with the public. The quality of government response is not good, especially in the categories of information on operations, warnings, resources provision, recruitment of volunteers, and rumors management. The implication of this study suggests how the data might be useful for the Government in delivering information during the Pandemic.

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Section: Literature Reviewmentioning

confidence: 99%

Content Analysis of Social Media: Public and Government Response to COVID-19 Pandemic in Indonesia

Akbar

Kurniadi

Nurliawati³

2021

JSP

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“…13. Naiknaware et al (2019) The paper studies how Twitter can be used for analyzing and gauging the sentiment of government schemes.…”

Section: Chetty and Alathur (2019)mentioning

confidence: 99%

“…The paper thus presents a dynamic nation-wide and state-wise sentiment distribution and emotion analysis model. The Twitter Application Programming Interface (API) was used for tweet extraction based on keywords related to CAA, NRC, and NPR and for further analysis due to its amenability to textual mining and sentiment analysis (Fang & Zhang, 2015;Panigrahi & Srivastava, 2018;Naiknaware et al,2019). Thus, the divergent opinions on this topic were proposed to be gauged in the paper through the Twitter platform to identify the loopholes and provide customized recommendations on how the Act can be reframed and conveyed with a more amicable tone to improve public perceptions.…”

Section: Introductionmentioning

confidence: 99%

Gauging Opinions About the Citizenship Amendment Act and NRC

Srivastava

Eachempati

2021

Journal of Global Information Management

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Today, the advent of social media has provided a platform for expressing opinions regarding legislation and public schemes. One such burning legislation introduced in India is the Citizenship Amendment Act (CAA) and its impact on the National Citizenship Register (NRC) and, subsequently, on the National Population Register (NPR). This study examines and determines the opinions expressed on social media regarding the act through a Twitter analysis approach that extracts nearly 18,000 tweets during 10 days of introducing the scheme. The analysis revealed that the opinion was neutral but tended to a more negative reaction. Consequently, recommendations on improving public perception about the scheme by suitable for interpreting the Act to the public are provided in the paper.

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