VADER

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

Project Activity

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License

MIT License

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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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