https://github.com/gopireddy99/sentiment_analysis_nlp

Basics and simple sentiment analysis using sample dataset and VADER Sentiment Analysis in NLP
https://github.com/gopireddy99/sentiment_analysis_nlp

nlp sentiment-analysis vader-sentiment-analysis wordcloud

Last synced: 3 months ago
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Basics and simple sentiment analysis using sample dataset and VADER Sentiment Analysis in NLP

• Host: GitHub
• URL: https://github.com/gopireddy99/sentiment_analysis_nlp
• Owner: gopireddy99
• License: mit
• Created: 2025-02-01T06:00:57.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-02-03T07:18:27.000Z (5 months ago)
• Last Synced: 2025-02-03T08:22:42.191Z (5 months ago)
• Topics: nlp, sentiment-analysis, vader-sentiment-analysis, wordcloud
• Language: Jupyter Notebook
• Homepage:
• Size: 771 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
#Sentiment Analysis using NLP and VADER

Overview

This project implements sentiment analysis using Natural Language Processing (NLP) and the VADER (Valence Aware Dictionary and sEntiment Reasoner) sentiment analysis tool. VADER is specifically designed for analyzing sentiment in text data, particularly in social media, reviews, and informal texts.

Features

Text preprocessing (tokenization, stopword removal, etc.)

Sentiment analysis using VADER

Sentiment classification into positive, negative, and neutral categories

Visualization of sentiment distribution

Support for analyzing bulk text data