DISSECTING TWITTER WITH DATA STREAMS - Topic Summarization The goal of this project was to build a search engine that provides the user with a summarization of any particular topic that has been queried in English. This project involved integrating many tools which were used for different purposes. Few key aspects:
- Corpus used : Twitter Feeds
- Topic Modelling was done using techniques of LDA modelling and k-means clustering
- The UI is made using techniques of HTML, CSS, AJAX, J QUERY and JAVA SCRIPT
The video explaining the work is as follows : https://www.youtube.com/watch?v=cuInHVqgTho
The topic for which the Search Engine was desinged was Christmas.