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.