Patent Analysis using Text Mining

Patent documents contain important research results. A patent for an invention is the grant of a property right to the inventor. Patents are granted for new, useful and non-obvious inventions for a period of 20 years from the filing date of a patent application, and provide the right to exclude others from exploiting the invention during that period. The manual process of file a patent is very time consuming. It takes one to two years for getting a patent. Therefore we introducing a web application which takes a patent file as a input and analyze that patent file and gives the output as patent is granted if it is unique otherwise it shows that patent is not granted. For this application special text-mining techniques are used to help extracting the desired information in short time. Text mining also referred to as text data mining, it is a process of deriving high quality information from the text. Text analysis involves information retrieval, lexical analysis to study pattern recognition and information extraction. This application will give the result in few minutes; this is the advantage of this application. also patent map will be generated and The White Spot Analysis is based on a this patent map: building a problem solution matrix of patent data within a defined technology field, gaps so called White Spots can be identified . The approach presented in this paper utilizes a text mining based method in order to support the extraction of problems and solutions from patent file.