https://github.com/rahul1582/text-summarisation-using-spacy
A Text Summarizer deployed to Heroku
https://github.com/rahul1582/text-summarisation-using-spacy
heroku nlp spacy text-summarisation
Last synced: about 2 months ago
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A Text Summarizer deployed to Heroku
- Host: GitHub
- URL: https://github.com/rahul1582/text-summarisation-using-spacy
- Owner: Rahul1582
- License: apache-2.0
- Created: 2020-01-09T17:30:24.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-05-01T21:41:25.000Z (about 3 years ago)
- Last Synced: 2025-03-31T05:17:01.662Z (about 1 year ago)
- Topics: heroku, nlp, spacy, text-summarisation
- Language: Jupyter Notebook
- Homepage: https://text--summarizer.herokuapp.com/
- Size: 4.65 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Text-Summarisation-using-Spacy
Text summarization is the process of finding the most important information from a document to produce an abridged version with all the important ideas.
The Idea of summarization is to find a subset of data which contains the “information” of the entire set.
The Flask app is finally deployed to Heroku.
# Technologies Used
```
1. Natural Language Processing
2. Spacy
```
## Usage
It can be used when you have a long paragraph and you do not want to read the whole one. This can summarise the whole paragraph and give it to you.
## To Run
First Clone the project.
Then run the text sum flak.ipynb file, a server will run.
Click on the link and paste whatever paragraph you want to summarise.
### Author
```
Rahul Kumar Patro