Patent Landscape Analysis Using NLP

Abstract: The text in a patent is so rich that it has the capacity to contribute towards creativity and ingenuity for the engineers, policy makers and scientist of those countries which are straggling in the technology [5]. As per the reports of World Intellectual Property Organizations, patent documents contain around 95% of the inventions hence proving to be a vital source for technological fruition and development with the passage of time [6]. The patent text data is broadly classified into two domains as the patent text and metadata. Where, the patent text data encompasses title, abstract, claims, narrative and explanation and the background, while the metadata is associated with information like inventor, issue date, examiner and the one who applied for patent. A patent landscape is an analysis of patent data that reveals business, scientific and technological trends. Landscape reports typically focus on a single industry, technology or geographic region.