NLP Case Study
How Topic Modeling helped a client find hostile topics among various social media data
Problem:
The client a consumer tech company based in USA, wanted to identify hostile topics emerging out of their social media data. The client had pages on different social media platforms and wanted a deeper insight into the hostile or negative topics being associated with their brand.
Solution:
- Topic Modeling and other Natural Language Processing algorithms were used to identify several topics from social media posts and comments, across different geographies for a specific time period.
- Topic models are a family of statistical-based algorithms to summarize, explore and index large collections of text documents.1 Latent Dirichlet Allocation approach was used to identify several topics emerging out of social media conversations.
