VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool designed for analyzing the sentiment of text, particularly in social media and short text formats. It is optimized for quick and accurate analysis of positive, negative, and neutral sentiments.

Features

  • Provides pre-trained sentiment analysis based on a lexicon approach
  • Optimized for short text, social media, and conversational data
  • Offers real-time sentiment scoring with polarity classification
  • Handles negations, intensifiers, and emojis for more accurate results
  • Works with Python and is lightweight with no external dependencies
  • Open-source and widely used in NLP applications

Project Samples

VADER Screenshot 1

Project Activity

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Categories

Sentiment Analysis, Natural Language Processing (NLP)

License

MIT License

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VADER Web Site

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Sentiment Analysis Software, Python Natural Language Processing (NLP) Tool

Registered

2025-02-20
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