Akshi Kumar

Work place: Department of Computer Engineering, Delhi Technological University, Delhi, India

E-mail: akshi.kumar@gmail.com


Research Interests: Information Systems, Data Mining, Information Retrieval, World Wide Web, Information Theory


Akshi Kumar is a PhD in Computer Engineering from University of Delhi. She has received her MTech (Master of Technology) and BE (Bachelor of Engineering) degrees in Computer Engineering. She is currently 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 many 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.

Author Articles
Sentiment Analysis: A Perspective on its Past, Present and Future

By Akshi Kumar Teeja Mary Sebastian

DOI: https://doi.org/10.5815/ijisa.2012.10.01, Pub. Date: 8 Sep. 2012

The proliferation of Web-enabled devices, including desktops, laptops, tablets, and mobile phones, enables people to communicate, participate and collaborate with each other in various Web communities, viz., forums, social networks, blogs. Simultaneously, the enormous amount of heterogeneous data that is generated by the users of these communities, offers an unprecedented opportunity to create and employ theories & technologies that search and retrieve relevant data from the huge quantity of information available and mine for opinions thereafter. Consequently, Sentiment Analysis which automatically extracts and analyses the subjectivities and sentiments (or polarities) in written text has emerged as an active area of research. This paper previews and reviews the substantial research on the subject of sentiment analysis, expounding its basic terminology, tasks and granularity levels. It further gives an overview of the state- of – art depicting some previous attempts to study sentiment analysis. Its practical and potential applications are also discussed, followed by the issues and challenges that will keep the field dynamic and lively for years to come.

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