Sentiment analysis is a type of natural language processing for tracking the emotions and opinions of the public about a particular service or product to come up with better decisions. A lot of companies perform sentiment analysis of Twitter users by extracting opinions from their tweets. It is significant in understanding how your brand is performing in the market and what your customers think about it.
If you don’t understand their emotions, you don’t understand your customers – Forrester
A lot of companies develop their own tools for sentiment analysis, while others hire expert data scientists for making correct interpretations.
In this cheat sheet, you will find out how Twitter sentiment analysis is helpful to various industries.
- What is sentiment analysis?
- Why Python is highly recommended for Twitter Sentiment Analysis
- How to effectively carry out the sentiment analysis using Twitter data for diverse industries
