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2000
Volume 14, Issue 3
  • ISSN: 1872-2121
  • E-ISSN: 2212-4047

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.

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/content/journals/eng/10.2174/1872212113666190328183517
2020-11-01
2024-12-25
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  • Article Type:
    Research Article
Keyword(s): #MeToo; BTM; LDA; Social Media Analysis (SMA); Topic Modelling; twitter analysis
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