Tweet Categorization for Customer Agents

Tweet Categorization for Customer Agents

I propose a categorization technique for topic modeling in Twitter, which train models using Latent Dirichlet Allocation (LDA) on datasets consisting of tweets and their responses. This categorization technique is designed for the telecommunication companies in this project and aims to increase customer satisfaction. 

Project Poster: 

Project Members: 

Doğa Can Dorum

Project Advisor: 

Arzucan Özgür

Project Status: 

Project Year: 

  • Spring

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

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