TextBlob vs. VADER for Sentiment Analysis Using Python

Author(s): Amy @GrabNGoInfo

Originally published on Towards AI.

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A comparison of sentiment scores between TextBlob and VADER

Photo by U+1F1F8U+1F1EE Janko Ferlič on Unsplash

TextBlob and VADER are two of the most widely used sentiment analysis Python libraries. Compared to machine learning approaches for sentiment analysis, TextBlob and VADER use a lexicon-based method. The lexicon approach has a mapping between words and sentiment, and the sentiment of a sentence is the aggregation of the sentiment of each term.

Lexicon sentiment analysis outputs a polarity score of -1 to 1, where -1 represents the highly negative sentiment, and 1 shows the… Read the full blog for free on Medium.

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Published via Towards AI