The procedure of automatic sentiment analysis is more or less the same as the rule-based approach. It just uses more advanced algorithms to explore deeper layers of the sentiments of a text. 3.

Rule-based methods use pre-defined rules and lexicons to determine the sentiment of a text, while machine learning-based methods use algorithms to learn from data and identify patterns in the text.

Sentiment Analysis uses natural language processing (see Google Wave), computational linguistics and text mining to identify the attitudes among writer(s)/speaker(s) on a particular topic. Expand ...