TEXT MINING FOR PATENT MAP ANALYSIS
Published: Jan 1, 2005
Abstract
Patent documents contain important research results. However, they are lengthy and rich in technical and legal terminology such that it takes a lot of human efforts to analyze them. Automatic tools for assisting patent analysis are in great demand. This paper describes some methods for patent map analysis based on text mining techniques. We experiments on a realworld patent map created for an important technology domain: “carbon nanotube”. We...
Paper Details
Title
TEXT MINING FOR PATENT MAP ANALYSIS
Published Date
Jan 1, 2005
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History