https://github.com/praptioza/textsummarization-nlp

https://github.com/praptioza/textsummarization-nlp

Last synced: 11 days ago
JSON representation

• Host: GitHub
• URL: https://github.com/praptioza/textsummarization-nlp
• Owner: praptioza
• Created: 2024-04-20T18:37:29.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-04T03:48:44.000Z (9 months ago)
• Last Synced: 2024-11-11T09:04:01.285Z (2 months ago)
• Language: Python
• Size: 175 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Enhancing Text Interpretability By Text Summarization Approach

## Install the following Libraries 

1. pip install nltk

2. pip install Spacy

3. pip install Textblob

4. pip install Gensin

5. pip install pyQT5

6. pip install Beautifulsoup

7. pip install Wordcloud

## Data set Details

Dont need to download anything else

1. For Text Summarization: - pull a large sample Dataset from Web 

2. For Wikipedia URL : - You can Take any wikipedia URL. Here's a sample URL : https://en.wikipedia.org/wiki/Worldwar_series

## How to Locate and run the code 

Step 1:- Traverse in the directory 

Step 2: - Pull the main Branch 

Step 3: - run userinterface.py

Step 4: - Select either option of text or URL and add text of your like or any url according to the selection

Note: - Output for wordcloud and class distribution will be visible in figures 

where as the top 10 NER talked about and sentiment towards the NER will be visible in the terminal