About this document
Sma Module 3 Notes by chiragpawaskar2008 is a document available to read on EtoBox.
The document discusses social media text analytics, focusing on the extraction and interpretation of insights from user-generated content. It categorizes social media text into dynamic and static types, detailing their characteristics and examples, and outlines various analytical techniques such as sentiment analysis, intention mining, and trends mining. Additionally, it describes the steps involved in text analytics, including source identification, data extraction, and text parsing.
- Author
- chiragpawaskar2008
- Language
- EN