Abstract

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 length.

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 other methods.

Keywords: Topic Modelling, LDA, BTM, Social Media Analysis (SMA), twitter analysis, #MeToo.

Graphical Abstract