Perception of Trend Topic in Twitter: A Case Study

Volume 11 Issue 4 April - June 2017

Research Paper

Perception of Trend Topic in Twitter: A Case Study

Tejasree Samakoti*, Shaik Naseera**, Tella Pramila***

* Research Scholar, School of Computer Science and Engineering (SCOPE), VIT University, Vellore, Tamilnadu, India.

** Associate Professor, School of Computer Science and Engineering (SCOPE), VIT University, Vellore, Tamilnadu, India.

*** Postgraduate, SV Engineering College, Tirupathi, Andhra Pradesh, India.

Samakoti, T., Naseera, S., and Pramila, T. (2017). Perception of Trend Topic in Twitter: A Case Study. i-manager’s Journal on Software Engineering, 11(4), 12-17. https://doi.org/10.26634/jse.11.4.13816

Abstract

One had to perceive the trend topic in Twitter concentrated on how the particular topic is trending suddenly. Based on factors like that coverage, popularity and reputation, etc., Kalman filter method is used for finding how the topic is trending. Existing methods concentrated on trend detection, trend taxonomy. But the disadvantage is based on Google trend manipulation, where a malicious user have the facility to manipulate Twitter trends. To overcome the disadvantage of existing method dynamic factors are provided for knowing a trending popular topic. A brief description about related terms used in Twitter was also depicted. In this work, the admin has the facility to view the end users and friend requests by the new users, new tweet given by the user, also display the hash tags of the number and also detecting the positive and negative words along with the number of words, to find top frequent tags detecting fake tweets given by the people, and also capturing IP address of the particular system.