Watson

Use the IBM Watson machine learning library

Check out Watson on GitHub.

Sentiment Analysis

Aggregate Sentiment Analysis - Can accept lists and gives back an average sentiment score. Sentiment Analysis - Gives a sentiment of a single input.

Inputs

  • Input Text - The text (or list of texts) you want to perform sentiment analysis on.

Outputs

  • Sentiment Score - Returns a number between -1 to 1. -1 is very bad, 0 is neutral, 1 is very good.

  • Sentiment Label - Returns Positive, Negative, or Neutral.

  • JSON Data - Raw JSON data received from the API.

Sentiment Analysis Example

Extract Keywords

Settings

  • Minimum Relevance -Select the minimum relevance words have to have to the text to be considered a keyword. The higher the minimum relevance, the more relevant a word has to be in order to be considered a keyword.

Inputs

  • Input Text - The text you want to perform sentiment analysis on.

Outputs

  • Watson Keywords - A list of keywords from the Input Text.

  • JSON Data - Raw JSON data received from the API.