Text Clumping for Technical Intelligence
نویسندگان
چکیده
This development responds to a challenge. Text mining software can conveniently generate very large sets of terms or phrases. Our examples draw from use of VantagePoint (or equiv‐ alently, Thomson Data Analyzer – TDA) software [1] to analyze abstract record sets. A typi‐ cal search on an ST&I topic of interest might yield, say, 5,000 records. One approach is to apply VantagePoint’s Natural Language Processing (NLP) to the titles, and also to the ab‐ stracts and/or claims. We also take advantage of available topic-rich fields such as keywords and
منابع مشابه
Abstract Title
Because of the flexibility and complexity of Newly Emerging Science and Technologies (NESTs), traditional statistical analysis fails to capture technology evolution in detail. Generating competitive technical intelligence supports industrial, governmental, and academic decisions to guide future development trends. Patents are one of the most important NESTs data sources and are pertinent to dev...
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