In society that heavily relies on short-hand writing, (LOL, G2G) it is essential for researchers to decode these text and discover the true message. Social media networks, allow people to communicate they way they prefer and are comfortable with. The question is, what can infer from Facebook comments or Twitter hashtags. This is where text analytics (text analysis, text mining content analysis) comes in.
Text Analytics refers to the innovative research technique that is a process of deriving high-quality information from text. Text analytics or "text mining" interprets information from patterns and trends within structured data. Researchers then evaluate the output data and interpret the message.
Text Analytics is conducted by word frequency distributions, pattern recognition, tagging/annotation, information extraction and natural language processing.
This modern technique can be used for business intelligence, exploratory data analysis, research or investigation.

The research study was conducted by Wilhelm Hoffman, an assistant professor of behavioral science at the University of Chicago. The study consisted of 205 participants, who were 18 years and older. The goal of the study was to determine how easy/difficult it is for people to resist common desires.