Characterization of Dataset Exploiting Sentiment Analysis over Twitter
Authors: Uzaifa Siddiqui, Simra Ayaz, Maryam Nadeem, Sara Javed and Shahab Saquib Sohail
Publishing Date: 30-04-2022
ISBN: 978-81-95502-00-4
Abstract
Over the past many years in the world of social media, twitter has attained a position as one of the most popular social networking sites (SNS) and provided to millions of people an opinion sharing platform. Thus, twitter started giving rise to many trending topics now and then and has attracted researchers for research in various dimensions. Since twitter is an opinion/sentiment sharing platform, sentiment analysis research has gained a lot of attention in recent years. These researches help in understanding the way people think and respond to an event as well as the purpose for which SNS are established. In this paper, we have outlined the most significant and relevant research in the above field in the recent few years. A novel characterization of twitter research data is presented and dataset creation and its implications are diagrammatically illustrated. The insight of dataset discussion would lay a strong foundation for the research in the concerned field. Moreover, it is envisaged that the future direction highlighted in the manuscript shall open various new dimensions of social network research.
Keywords
Twitter, Dataset, API, Sentiment Analysis, SNS.
Cite as
Uzaifa Siddiqui, Simra Ayaz, Maryam Nadeem, Sara Javed and Shahab Saquib Sohail, "Characterization of Dataset Exploiting Sentiment Analysis over Twitter", In: Rahul Srivastava and Aditya Kr. Singh Pundir (eds), New Frontiers in Communication and Intelligent Systems, SCRS, India, 2022, pp. 215-226. https://doi.org/10.52458/978-81-95502-00-4-24