• Dr. Vishal H. Bhemwala
• Dr. Kirit I. Chokhawala
• Dr. Jayesh N Modi

Text mining is also known as text data mining or knowledge discovery process. There are actually structured and unstructured Data Mining Techniques. Structured Data Mining Techniques use the concept of relational database as input or first point of the knowledge discovery process. There is well defined structure and everything seems to be perfectly planed for the knowledge discovery. But Text mining has not structured source of input. The data arrives from various unstructured sources and there is no universal mechanism or formation, so mining process can be done in efficient way. In this paper, the focus is on the architecture, challenges and use and future direction of Text mining. Though, the data are not properly organized but if we can form architecture very important information can be derived and this will make useful in decision making or discovering the new knowledge. There is huge amount of information is stored in article, books and journals. Only proper algorithm is required to handle this information. The text mining serves the purpose of discovering the knowledge which is previously unknown.

Web Mining, Data Mining, Web Content Mining, Web Usage Mining, Web Structured Mining and Text Mining.

"Text Mining: An Unstructured Data Mining Concept, Use, Challenges and Future Direction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.1221-1224, August-2020, Available :http://www.jetir.org/papers/JETIR2008153.pdf

"Text Mining: An Unstructured Data Mining Concept, Use, Challenges and Future Direction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp1221-1224, August-2020, Available at : http://www.jetir.org/papers/JETIR2008153.pdf