Social media, in general, and Twitter, in particular, provide a space for discourses,
contemporary narratives besides a discussion about few specific social issues. People respond to
these events by writing short text messages.
Background: Hashtag “#”, a specific way to respond to a given raised discourse, narrative or any
contemporary issue is usual to social media. Netizens write a short message as their opinion about
any given issue represented using a given Hashtag. These small messages generally tend to have a
latent topic (theme) as one’s opinion about it.
Objective: This research is aimed to extract, represent and understand those hidden themes.
Method: Biterm Topic Model (BTM) has been used in this study given its ability to deal with the
short messages unlike Latent Dirichlet Allocation that expects a document to have a significant
Results: Twitter Hashtag #M
comments. Data has been modelled with ten (10) topic.
Conclusion: The experimental results show that the proposed approach to understand the twittter
hashtages from latent themes using biterm topic modelling method is very effective as compared to