A lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media
VADER-Sentiment-Analysis
VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media. It is fully open-sourced under the [MIT License] (we sincerely appreciate all attributions and readily accept most contributions, but please don’t hold us liable).
Features and Updates
Many thanks to George Berry, Ewan Klein, Pierpaolo Pantone for key contributions to make VADER better. The new updates includes capabilities regarding:
Refactoring for Python 3 compatibility, improved modularity, and incorporation into [NLTK] …many thanks to Ewan & Pierpaolo.
Restructuring for much improved speed/performance, reducing the time complexity from something like O(N^4) to O(N)…many thanks to George.
Simplified pip install and better support for vaderSentiment module and component import. (Dependency on vader_lexicon.txt file now uses automated file