Skip to content

This application uses extractive summarization and topic modelling to generate questions and answers automatically from the uploaded pdf text file.

Notifications You must be signed in to change notification settings

shreyasdamle2017/text_summarization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

text_summarization

This project takes an input file of pdf and by using extractive summarization approach and topic modelling, it extracts various important topics from the pdf text and generates questions on those topics and also generates corresponding answers. These long answers could be summarized using the LDA(Latent Direchlet Allocation) approach. This application is a web application, has a voice assistant integrated for wikipedia searches and google searches.

The name of the project is text_project

This project is developed using django framework with NLP libraries. You can find the exact versions of the libraries in requirements.txt.

This project is under development and everyone is welcome for suggestions and additions.

About

This application uses extractive summarization and topic modelling to generate questions and answers automatically from the uploaded pdf text file.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published