| # TopicDig | |
| ### TopicDig uses whole article summarization to create topical digests from current news headlines | |
| #### [](https://share.streamlit.io/mpolinsky/topicdig/main) | |
| The app displays topics, the user chooses up to three, and the app spins up a topical digest scraped from the headlines. | |
| This project makes heavy use of HuggingFace for NLP, and Gazpacho for web scraping. | |
| **The pipeline:** | |
| * Current headlines are scraped from two news sites. | |
| * NER is performed on each headline to extract topics, some headlines yield no topics. | |
| * Article links are clustered according to entities in their headlines | |
| * User selects up to three clusters | |
| * Articles from those clusters are scraped, the articles summarized in chunks, and the summaries concatenated to create a digest. | |
| This application was created as the culmination of a semester of independent graduate research into NLP and transformers. | |
| Original repo for the earlier version of this app is located at https://github.com/mpolinsky/sju_final_project/ | |