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VADER [Sentiment Analysis]

Description

VADER (alence Aware Dictionary for sEntiment Reasoning) is a model used for text sentiment analysis that is sensitive to both polarity (positive/negative) and intensity (strength) of emotion.

Primarily, VADER sentiment analysis relies on a dictionary which maps lexical features to emotion intensities called sentiment scores.

The sentiment score of a text can be obtained by summing up the intensity of each word in the text, for example:

  • Words like "love", "like" "enjoy", "happy" all convey a positive sentiment.
  • VADER is intelligent enough to understand the basic context of these words, such as "did not love" as a negative sentiment.
  • It also understands capitalization and punctuation, such as LOVE!!!"

Sentiment Analysis on raw text is always challenging however, due to a variety of possible factors:

  • Positive and Negative sentiment in the same text data.
  • Sarcasm using positive words in a negative way.