Identification of Zonal-Wise Passenger’s Issues in Indian Railways Using Latent Dirichlet Allocation (LDA): A Sentiment Analysis Approach On Tweets
Pp. 265-276 (12)
Vijay Singh, Mangey Ram and Bhasker Pant
Twitter is one of the effective mediums to detect the feeling of a mass. Due
to the increasing penetration of this kind of social services in the society, its relevance
and the credibility are also increasing. In this article, we did an analysis of 16 different
Indian Railways Zonal Regions and Zonal-wise passengers issues concerning
traveling, using Latent Dirichlet Allocation (LDA). The results generated by the LDA
shows that the major concerns of the passengers are the sanitation, security of women,
rat and bad behavior by the other passengers. These results can be used to further
improve the performance of the Indian Railways and in decision making.
Indian Railways, Latent Dirichlet Allocation (LDA), Sentiment
analysis, Topic mining
Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India.