Text Mining in Pharma and Intelligence
نویسندگان
چکیده
1. Profiling and classification of scientific documents with SAS Text Miner SAS Institute (www.sas.com) and the European Molecular Biology Laboratory (EMBL)/ the ELM Consortium (http://elm.eu.org) are cooperating on the development of a text mining-application for the automated identification and ranking of scientific articles. The so-called “topic scoring engine” is based on the SAS Text Miner. The topic scoring engine identifies documents with similar contents and creates search-profiles which will comply with the congruencies of the documents.
منابع مشابه
Competitive Intelligence Text Mining: Words Speak
Competitive intelligence (CI) has become one of the major subjects for researchers in recent years. The present research is aimed to achieve a part of the CI by investigating the scientific articles on this field through text mining in three interrelated steps. In the first step, a total of 1143 articles released between 1987 and 2016 were selected by searching the phrase "competitive intellige...
متن کاملA Joint Semantic Vector Representation Model for Text Clustering and Classification
Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...
متن کاملDevelopment of a text search engine for medicinal chemistry patents
Emilie Pasche1, Julien Gobeill2, Fatma Oezdemir-Zaech3, Therese Vachon3, Christian Lovis1, Patrick Ruch2 1Division of Medical Information Sciences (SIMED), University Hospitals of Geneva and University of Geneva, Geneva, Switzerland 2Bibliomics and Text-Mining Group (BiTeM), Information Science Department, University of Applied Sciences, Geneva, Switzerland 3Novartis Institute for BioMedical R...
متن کاملPowerful Tool to Expand Business Intelligence: Text Mining
With the extensive inclusion of document, especially text, in the business systems, data mining does not cover the full scope of Business Intelligence. Data mining cannot deliver its impact on extracting useful details from the large collection of unstructured and semi-structured written materials based on natural languages. The most pressing issue is to draw the potential business intelligence...
متن کاملA survey on Automatic Text Summarization
Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...
متن کامل