vader-multi 3.2.2.1

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, and works well on texts from other domains.

VADER Sentiment Analysis Multilanguage

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.

This version integrates the Google Translate API through the translatte Python library. It requires an active Internet connection in order to work. Text language is automatically detected so it behaves exactly like the original version.

Installation

Uninstall first the original version so it is not instantiated instead of vader-multi:

pip uninstall vaderSentiment
pip install vader-multi

Polarity Scores

class vaderSentiment.SentimentIntensityAnalyzer

polarity_scores(text)

Returns a dictionary with the following keys: {'neg': float, 'neu': float, 'pos': float, 'compound': float}

from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

analyzer = SentimentIntensityAnalyzer()
analyzer.polarity_scores("VADER is smart, handsome, and funny.")

Examples

>>> from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer

>>> analyzer = SentimentIntensityAnalyzer()

>>> analyzer.polarity_scores("VADER is VERY SMART, handsome, and FUNNY!!!")
{'neg': 0.0, 'neu': 0.233, 'pos': 0.767, 'compound': 0.9342}

>>> analyzer.polarity_scores("¡¡¡VADER es MUY INTELIGENTE, guapo y DIVERTIDO!!!")
{'neg': 0.0, 'neu': 0.27, 'pos': 0.73, 'compound': 0.9387}

>>> analyzer.polarity_scores("VADER è MOLTO INTELLIGENTE, bello e DIVERTENTE!!!")
{'neg': 0.0, 'neu': 0.256, 'pos': 0.744, 'compound': 0.9481}

>>> analyzer.polarity_scores("VADER est TRÈS SMART, beau et drôle!!!")
{'neg': 0.0, 'neu': 0.276, 'pos': 0.724, 'compound': 0.9338}

>>> analyzer.polarity_scores("Вейдер очень умный, красивый и смешной!!!")
{'neg': 0.0, 'neu': 0.314, 'pos': 0.686, 'compound': 0.8989}

>>> analyzer.polarity_scores("ベイダーは非常にスマートで、ハンサムで面白いです!!!")
{'neg': 0.0, 'neu': 0.328, 'pos': 0.672, 'compound': 0.882}

>>> analyzer.polarity_scores("வேடர் மிகவும் ஸ்மார்ட், அழகான மற்றும் வேடிக்கையானது!!!")
{'neg': 0.0, 'neu': 0.314, 'pos': 0.686, 'compound': 0.8989}