Sentiment analysis is used in opinion mining, business analytics and reputation monitoring. It helps businesses understand how happy or dissatisfied the customer is with a particular service or product by analyzing their emotional tone from the product reviews they post, the online recommendations they make, their survey responses and other forms of social media text.
This module takes a text column has an input create a new
Sentiment , displaying an index between -1 and 1 for each value in the selected column.
- 1 Means 'Very positive'
- 0 means 'Neutral'
- -1 Means 'Very negative'
Workbench uses the 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.