Metadata-Version: 2.1
Name: bert-extractive-summarizer
Version: 0.1.1
Summary: Extractive Text Summarization with BERT
Home-page: https://github.com/dmmiller612/bert-extractive-summarizer
Author: Derek Miller
Author-email: dmmiller612@gmail.com
License: MIT
Download-URL: https://github.com/dmmiller612/bert-extractive-summarizer/archive/0.1.1.tar.gz
Description: # Bert Extractive Summarizer
        
        This repo is the generalization of the lecture-summarizer repo. This tool utilizes the HuggingFace Pytorch BERT library 
        to run extractive summarizations. This works by first embedding the sentences, then running a clustering algorithm, finding 
        the sentences that are closest to the cluster's centroids.
        
        ## How to Use
        
        #### Simple Example
        ```python
        from summarizer import SingleModel
        
        body = 'text you want to summarize'
        summary = SingleModel()(body)
        ```
        
        
Keywords: bert,pytorch,machine learning,deep learning,extractive summarization,summary
Platform: UNKNOWN
Description-Content-Type: text/markdown
