| Autor: |
Nirban, Virendra Singh, Agarwal, Aniruddh |
| Zdroj: |
Amity Journal of Media & Communications Studies (AJMCS); Mar2016, Vol. 5 Issue 3, p172-179, 8p |
| Abstrakt: |
Social media has emerged as a catalytic agent for communication among members of a social setup breaking the space and time barriers. The pace of Social Media Technology innovation has out been a very important factor in its adoption by users belonging to different strata of life. Also that it has affected almost all affairs of our existence. Social Media has enabled the users in not only consuming the content but also producing the content. This generated discourse is colossal and at the same time interesting enough to throw insights into the popular public mood. This paper is an attempt to understand the generated discourse through analysis using a software tool. The input tweets are compared and contrasted with a trained set of tweets for a thread of discussion. The algorithm the polarizes the input tweets according to intensity and alignment towards a particular sentiment such as happiness, anger, frustration etc. The generated output is useful as response/feedback repository for various agents and agencies in sectors like business, politics, public policy etc. In this paper we discuss the case of Net Neutrality and public sentiments. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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