Presidential Elections - Public Opinion - Social Media - Twitter - Sentiment Analysis - Assessment Answer

Presidential Elections - Public Opinion - Social Media - Twitter - Sentiment Analysis - Assessment Answer

Task:
In recent years, social media such as Twitter has enabled people to share their opinions regarding elections. Social Media has given a stage to gather bulk amount of data from its various platforms. Nowadays people post their views publicly on social media platforms regarding various campaigns held in country. Digitalization has brought world closer to each other and easy to spread news or share thoughts with many others in all around the world. Twitter is one of the strongest mediums were people share opinions regarding their election candidate etc. In this paper, we would be analysing real-time public sentiments towards United States (US) presidential elections 2020 prediction. Upcoming Manifestations or news happening in the countries are often followed by large burst on twitter, creating unique chance to check relation between expressed public opinions and different affairs. We would do sentiment analysis to explore how these events affect public opinion. In Addition, content analysis takes days or week to build up social media content through twitter traffic. The Entire traffic of twitter about the elections, conveying results immediately and continuously. It provides public, Politicians officials and researchers a new and timely perspective on the dynamics of politics procedure and public’s sentiments. The proposed approach has effectively been deployed on millions of tweets to analyse country affair concerns of people to understand 2020 US presidential elections.

Research Methodology:
In this Research we are proposing methodology Opinion Mining, which is also known as Sentiment Analysis. Opinion Mining using twitter feeds for Political analysis helps to understand responses of Citizens with respect to their governmental issues, Political reforms and emotion / behaviour towards new manifestations happening in the current country. Our system would also focus on the suitable hashtags trending in the tweets by users, the one for which they intend to perform analysis and obtain results. The user must type in the hashtag along with the number of live tweets one wishes to analyse. The approach will be data collection, Data Cleaning, Perform sentiment analysis, Topic Discovery (National Affairs) and Analysis Public opinion.

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