Unstructured data analysis has become a buzz phrase recently. A lot of researchers, data analysts, data modelers, and data scientists are struggling to find novel methods to enhance precision in unstructured data analysis. There are different sources of unstructured data. The most common sources include the following:

• Email correspondence, and the reply, response, forward threads
• Social media posts and activities
• Video, sound, or image files
• Web-browsing behavior

According to IBM, 90% of the world's data was produced in the past 2 years, which is unstructured or semi-structured. Due to its very nature, unstructured data is tremendously difficult to analyze. In the past, analysts were not able to do much about it due to the lack of technology. But with the upsurge of ICT technology, big data analysis, data mining, and machine learning approaches, it possible to create models that can classify and analyze these datasets.