Thursday 28th of March 2024
 

Sentiment Analysis on Twitter


Akshi Kumar and Teeja Mary Sebastian

With the rise of social networking epoch, there has been a surge of user generated content. Microblogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time microblogging service, Twitter, where users post real time reactions to and opinions about “everything”. In this paper, we expound a hybrid approach using both corpus based and dictionary based methods to determine the semantic orientation of the opinion words in tweets. A case study is presented to illustrate the use and effectiveness of the proposed system

Keywords: Microblogging, Twitter, Sentiment Analysis

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ABOUT THE AUTHORS

Akshi Kumar
Akshi Kumar is a PhD in Computer Science Engineering from University of Delhi. She has received her MTech (Master of Technology) and BE (Bachelor of Engineering) degrees in Computer Engineering. She is current working as a University Assistant Professor in Dept. of Computer Engineering at the Delhi Technological University, Delhi, India. She is editorial review board member for ‘The International Journal of Computational Intelligence and Information Security’, Australia, ISSN: 1837-7823; ‘International Journal of Computer Science and Information Security’, USA, ISSN: 1947-5500; ‘Inter-disciplinary Journal of Information, Knowledge & Management’, published by the Informing Science Institute, USA. (ISSN Print 1555-1229, Online 1555-1237) and ‘Webology’, ISSN 1735-188X. She is a life member of Indian Society for Technical Education (ISTE), India, a member of International Association of Computer Science and Information Technology (IACSIT), Singapore, a member of International Association of Engineers (IAENG), Hong Kong, a member of IAENG Society of Computer Science, Hong Kong and a member of Internet Computing Community (ICC), AIRCC. She has 16 publications to her credit in various journals with high impact factor and international conferences. Her current research interests are in the area of Web Search & Mining, Intelligent Information Retrieval, Web 2.0 & Web Engineering.

Teeja Mary Sebastian
Teeja Mary Sebastian is doing M.Tech (Master of Technology) in Computer Technology & Application from Delhi Technological University, Delhi, India and has done her B.Tech (with Distinction) also in Computer Science and Engineering; she is currently working as a scholar in the field of Sentiment Analysis, and has presented a paper on ‘Machine Learning Assisted Sentiment Analysis’ at ICCSE’12.


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