figure ibm watson wins jeopardy against human players text mining has many applicationsincludingbut not limited tothe followingentity identification plagiarism detection topic identification text clustering translation automatic text summarization fraud detection spam filtering sentiment analysis text mining is usefulbut is it difficultsorry to disappointyesit is when looking at the examples of wolfram alpha and ibm watsonyou might have gotten the impression that text mining is easy sadlyno in reality text mining is complicated task and even many seemingly simple things can' be done satisfactorily for instancetake the task of guessing the correct address figure shows how difficult it is to return the exact result with certitude and how google maps prompts you for more information when looking for "springfield in this case human wouldn' have done any better without additional contextbut this ambiguity is one of the many problems you face in text mining application