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Patent search is a substantial basis for many operational questions and scientometric evaluations. We consider it as a sequence of distinct stages. The “patent wide search” involves a definition of system boundaries by means of classifications and a keyword search producing a patent set with a high recall level
better understanding. To obtain different clusterings, users can adjust the keyword importance on the fly. Topic modeling represents the documents with higher-level semantic meanings. System performance has been optimized to achieve instantaneous animated visualization even for very large data collections. A powerful user
Pittsburgh dataset. We experimented with 3 different topic modeling methods including LDA and 2 ICD-based methods and a keyword search method for the identification of delirium related documents and sentences in clinical notes. As expected, the keyword search method is highly specific but insufficiently sensitive when searching
confusion of information, disguise, and invalidation of correlation weighing when current text mining techniques based on keyword search are employed to conduct technology forecasting. In this paper, we present a three-layer model of smart technology forecasting based on text mining consisting of the collection layer, the
It is truly said by Michelangelo Antonisoni that “We live in a society that compels us to go on using the concepts, and we no longer know what they mean”. A central challenge in understanding the vital concepts of a thesis lies in the complexity of jargons. Our goal is to build an interactive Web application coupled with a chat interface to make learning or knowledge gaining easier. Thus our Web application...
Literature-based discovery for hypothesis generation is a subarea of text mining that aims to discover novel or previously-unknown knowledge from two complementary but disjoint (CBD) sets of literatures. The discovery approach is based on Swanson's discovery models where indirect connections between two disjoint sets of literatures A and C could be found through a set of common terms B extracted from...
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