Watson
Seamlessly integrate IBM Watson machine learning with your favorite APIs, databases, and programming languages, using WayScript.
Use the IBM Watson machine learning library
Check out Watson on GitHub.

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Sentiment Analysis

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

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Inputs

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

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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

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Extract Keywords

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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.

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Inputs

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

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Outputs

  • Watson Keywords - A list of keywords from the Input Text.
  • JSON Data - Raw JSON data received from the API.
Last modified 11mo ago