Twitter Sentiment Analysis: A Political View

Abstract

Twitter is a famous micro-blogging service for tracking public mood with respect to an object or entity. It involves an application of sentiment analysis on naturally written language to extract sentiments conveyed by the users. Twitter sentiment analysis is demanding. Because of the raw nature of text, limited size, use of slang words, abbreviations, tweet processing task became quite complicated. But, one cannot ignore the twitter data, as it hold sentiments towards variety of topics. This research aims to analyse political orientation of twitter users as positive or negative. Different machine learning algorithms are adopted to identify the user point of view on Ayodhya issue. Then the efficiencies of these built models are contrasted with one another to discover the best machine learning algorithm on text categorisation. The result is analysed based on the measurement metrics namely accuracy, precision, recall, F1score measures for each sentiment class.

Sentiment Analysis: A Case Study among the selected Government Agencies in the Philippines

“…Studies from these sites from the Malaysian government are significant to achieve their social media operations, providing the most effective public-to-user contact systems. Through doing this, policymakers should keep an eye on potential public opinion and use those that show how their people respond to services [33], [34].…”

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Employ Twitter Data to Perform Sentiment Analysis in the Malay Language

“…Everything is only with the touch of a finger [3]. Therefore, Twitter can also be used in more technically intriguing ways [4]. The inspired community has perceived to pursue and gain information from your tweets within their Twitter feeds [5].…”

Visualizing Communication of Service Providers Reputation During Covid-19 Pandemic: A Conceptual Model

“…Yet, the social element, particularly the concise, real-time commentary that consumers express via networks such as Twitter, is often overlooked. Twitter is a popular and famous micro-blogging service that able to track the public mood related to an object or entity and applying the sentiment analysis to extract sentiments conveyed by the users [4]. A lot of marketing executives are said not to comprehend how to integrate the power of the internet and social media into their marketing strategy.…”