Stock Prediction [4]: article analysis (2/2) – Sentiment Analysis

Ethan Shaotran

Former C# Programmer for multiple renowned iOS applications, and now Main Author for Energize.AI

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2 Responses

  1. Passing Through says:

    Is it as binary as positive or negative? Are there degrees of positive or negative sentiments?

    • Hi there. Our algorithm’s bag of words sentiment analysis model assigns each article text a score, which is simply calculated by subtracting the number of negative words from the number of positive words. A positive result means the article is most likely positive, while a negative result means the article is most likely negative. A very high positive/negative score means the article feels very strongly for or against the stock.

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