Analysis of Twitter Reactions to Government Policies (original) (raw)

Sentiment Analysis of Indian Government Schemes using Twitter Datasets

2017

The Social media monitoring has been growing day by day so analyzing of social data plays an important role in knowing peoples behavior. So we are analyzing Social data such as Twitter Tweets using sentiment analysis which checks the opinion of peoples related government schemes that are announced by Central Government. This paper develops based on social media twitter datasets of particular schemes and its polarity of sentiments. Popularity of Internet has been rapidly increased. Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations, attitudes, and emotions from written language. User generated contents are highly generated by users. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. It is difficult to analysis or summarize the user generated content. Most of the users writes their opinions, thou...

Twitter Sentiment Analysis of the Indian Union Budget

The presented study conducts a real-time sentiment analysis of the public reaction towards the announcement of the Indian Union Budget 2020. On social media platforms, the general public vents their opinions regarding popular issues. A total of 6000 tweets were mined to gauge the quick response of the public sentiment about the union budget which was presented in the Indian Parliament on February 1, 2020, at 11 am. The instantaneous reaction of the general public in the form of tweets was mined during the budget announcement hours. A sentiment analysis based model was used to analyze the dataset. Subjectivity and polarity values obtained for the dataset were used to calculate the sentiment for individual tweets. The experiment produced an overall positive score of +149.3387 based on the Twitter user’s collective opinions.

Twitter Sentiment Analysis on Government Law Using Real Time Data

International Journal of Scientific Research in Science and Technology, 2021

Social media monitoring has been growing day by day so analyzing social data plays an important role in knowing people's behavior. So we are analyzing Social data such as Twitter Tweets using sentiment analysis which checks the opinion of people related to government schemes that are announced by the Central Government. This paper-based is on social media Twitter datasets of particular schemes and their polarity of sentiments. The popularity of the Internet has been rapidly increased. Sentiment analysis and opinion mining is the field of study that analyses people's opinions, sentiments, evaluations, attitudes, and emotions from written language. User-generated content is highly generated by users. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. It is difficult to analyze or summarize user-generated content. Most of the users write their opinions, thoughts on blogs, social media sites, E-commerce sites, etc. So these contents are very important for individuals, industry, government, and research work to make decisions. This Sentiment analysis and opinion mining research is a hot research area that comes under Natural Language processing. We plot and calculate numbers of positive, negative, and neutral tweets from each event.

Twitter Sentiment Analysis on Citizenship Amendment Act in India

International Journal for Research in Applied Science and Engineering Technology IJRASET, 2020

Sentiment analysis is an opinion mining process, in which computational analysis and categorization of opinion of a piece of text is done to obtain an unbiased understanding of the writer’s opinion towards any specific topic. In this paper, Sentiment Analysis of the twitter user demographic towards Citizenship Amendment Act, which came into effect in India from January 10th, 2020, has been done. CAA was considered, as it had garnered mixed opinions from different sections of the Indian demographic, so there was no clear understanding of the overall sentiment of the public towards it. It had also led to protests and riots in various parts of India, which the Government struggled to handle as it was unexpected

Examining government-citizen interactions on Twitter using visual and sentiment analysis

Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age

The goal of this paper is to propose a methodology comprising a range of visualization techniques to analyze the interactions between government and citizens on the issues of public concern taking place on Twitter, mainly through the official government or ministry accounts. The methodology addresses: 1) the level of government activity in different countries and sectors; 2) the topics that are addressed through such activities; 3) the resources shared between government and citizens as part of interactions; 4) the intensity of citizen response to government announcements; 5) the sentiment expressed by citizens when providing such responses; and 6) the combinations of such issues. Example combinations include identifying topics that generated the largest Twitter activity by government but received the least interest from citizens, identifying topics that generated the most polarized reactions from citizens, or determining correlation between policy announcements and trust, fear and other negative emotions expressed by citizens. The methodology uses visual analytics to reveal patterns and trends associated with various questions, complemented with sentiment analysis to study government-citizen interactions on Twitter. The methodology is validated by examining Twitter presence in five sectorshealth, social development, education, environment and work, in five Latin American countries with mature e-Participation capabilities-Argentina, Chile, Colombia, Mexico and Uruguay.

4. Measuring the Response of Citizens to New Initiatives by Analysis of Twitter Data

Life changing events happen all around the world which can affect human beings socially, economically, environmentally or politically. During these events, a large number of people tend to express their views and opinions on micro blogging websites. One such micro-blogging tool is Twitter. It is an online News and social networking service where registered users canpost and interact with messages called "tweets," that are restricted to 140 characters. We aim to perform a sentimental analysis on the data received from Twitter, concentrated on one specifi c topic, to realize people's sentiment towards an event. Also, we studied how the opinion of the masses change with time. This mechanism can help policy makers and decision makers to take informed and benefi cial decisions.

SENTIMENT ANALYSIS USING TWITTER INFORMATION FLOW ABOUT THE NEW EDUCATION POLICY INTRODUCED IN INDIA IN 2020

IAEME PUBLICATION, 2020

The research undertaken focuses on the sentiments among people related to new education policy in India that was announced in 2020 after 34 years of National Policy of education, 1986 (NPE), based on the information flow on Twitter. The tweets related to the hashtag #Neweducationpolicy, are thoroughly studied using sentiment analysis on the software R studio. The study resulted that there was least misinformation and the information collected was relevant, reliable, and accurate. The sentiment analysis used has successfully identified some relevant and accurate sentiments related to new education policy and also identifies that there is prevalence of skepticism among people about the future impact of the policy in the country.

Impact of Demonetization in India using Opinion Mining over Twitter Data

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2020

In recent years, the utilization of Internet has turned out to be one of the everyday activities in our life. Social networks constitute a noteworthy segment of the Web and made an upheaval. It incorporates social media, forum conversations, blogs and micro-blogs like twitter. Due to this, large numbers of comments are produced on daily basis. So, nowadays most of the researchers or analyzers are concentrating on extracting significant data from social networks in order to understand the public viewpoint. This research has been reached out outside the computer science to cover other areas like business, political and social science. Hence, Sentiment analysis and Opinion mining are popular field of research in Data mining. This paper delineates various aspects of sentiment analysis in detail inclusive of important concepts, classification, process, importance, challenges and applications. The following paper presents experiment on sentiment analysis of public opinion on demonetization in India. Sentiment analysis is performed on tweets related to demonetization in India extracted from twitter. Polarity of the opinion is observed through the experimental analysis. Through the outcome of this analysis, the sentiments of the citizens that are determined help the government in improving their decisions and work for the welfare of the citizens.

Twitter Sentiment Analysis on Indian Government Project using R

International Journal of Recent Technology and Engineering (IJRTE), 2019

The main motive behind this research paper is to use the power of social media to observe, examine and analyze the opinion regarding recent Indian government project as the opinion of people plays a vital role in formulating the government policies. By getting into the deeper insights on social media, one can easily analyze the behavior of people regarding various issues and policies, which was otherwise impossible using traditional sources. The case study was done on Statue of Unity. Analysis was done on one of the famous social networking sites i.e. Twitter, using R programming language. Twitter API was used to collect the primary data. Tweets were analyzed by using opinion lexicon and Emotion lexicon-based approaches. Opinion Lexicon based approach categorized the sentiment of tweets in three categories, while Emotion Lexicon based approach refined them into eight more categories. The research work done in this paper will help government to understand the emotions of people regar...

Sentiment Analysis on GST Tweets

International Journal of Advanced Research in Computer Science, 2018

Social networking websites are considered as major sources of opinions and emotions of the public on social issues. Twitter a microblogging website where users share millions of views on a wide range of topics on a daily basis which can be used for Sentiment analysis in order to identify user’s opinions, likes, dislikes, feedbacks, etc. Analysis of people’s sentiment in a text and classification in terms of positive, negative or neutral is a challenging task. In this paper, Twitter has been used as a forum to analyze and graphically represent people's opinion of India towards recently introduced Goods and Services Tax by Indian Government on 1st July 2017.The tweets originating in India on 30th June and 1st July have been extracted then classified as positive, negative and neutral sentiments.