A simple website demonstrating TextRank's extractive summarization capability.
-
Updated
Mar 20, 2021 - HTML
A simple website demonstrating TextRank's extractive summarization capability.
In this project, we used the page rank algorithm to extract important sentences as an extractive summary. We used word2vec representation of words to calculate word similarities.
This project is a corporate partnership with the online bookstore platform 'YES24', where we collect data from various platforms such as YouTube to analyze the latest trends and develop a service that recommends books matching these trends.
Add a description, image, and links to the textrank topic page so that developers can more easily learn about it.
To associate your repository with the textrank topic, visit your repo's landing page and select "manage topics."