Smart analytics focus on obtaining insights and/or perceptions about a brand or a product from collections of text data. The project involves designing architectures for big data processing, cleaning and preparing the text data for analysis, and providing insights through user-friendly web interfaces. Since the sources of data are social media and discussion boards, the text that we are dealing with are written in an informal spoken language which contains a lot of noises.

This research aims at improving text pre-processing tasks while delivering meaningful analytics from the extracted data patterns. We are working hard to support both Thai and English text sources; therefore, various natural language processing techniques are required due to differences in language constructs.