Document Categorization using Reinforcement Learning
Sukhdeep Kaur
Ms.Sukhdeep kaur, is a student of M-Tech(CSE) from Lovely Professional University, She completed her B-Tech(CSE) in L.P.U Itself. Lovely Professional University Punjab, India.
Manuscript received on May 17, 2012. | Revised Manuscript received on June 22, 2012. | Manuscript published on June 30, 2012. | PP: 276-279 | Volume-1 Issue-5, June 2012. | Retrieval Number: E0509061512/2012©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Automatic categorization of documents has become an important research issue since the explosion of digital and online text information. The text information is stored in the form of files and documents and to extract this particular information, a well-defined process is followed. The organization of documents is not so easy task. So there is need to present these documents in a categorized form. A particular text document is categorized, on the basis of high frequency words. So, the main idea is to convert the unstructured documents into structured form. The final goal is to achieve high accuracy in the formation of categories by following particular steps.
Keywords: Document Categorization, Data Mining, Pre-processing.