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.

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.