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.

Considering sentiment analysis utilizes social media, mobile apps, websites and forums to collect this priceless data, it becomes a veritable mine for organizations based on which they can improve ...

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 ...