Text mining is a growing new field that attempts to glean meaningful information from natural language text. It may be roughly characterized as the process of analysing text to extract information that is useful for particular purposes. Most of soft documents are stored as text, text mining is believed to have a high viable potential value. Knowledge may be exposed from many sources of information yet, unstructured texts remain the largest readily available source of knowledge .Text classification classifies the documents according to predefined categories .This research work gives the introduction of text classification, process and techniques of text classification as well as the overview of the classifiers and tried to compare the some existing classifier on basis of few criteria like time complexity, principle and performance.

Feature Extraction, Future Selection, Machine Learning (ML), Natural Language Processing (NLP), Structured Date, Text Mining, Unstructured Date.