Research Report: text mining

Find us on Facebook

Mining Depth: documents

Topic Summary (from en.wikipedia.org): Attensity - hosted, integrated and stand-alone Text mining (analytics) software that uses natural language processing technology to address collective intelligence in social media and forums; the voice of the customer in surveys and emails; customer relationship management; e-services; research and e-discovery; risk and compliance; and intelligence analysis.

[ Detailed Research Report | Mind Map ]

Major Themes:

  • Text mining: Attensity - hosted, integrated and stand-alone Text mining (analytics) software that uses natural language processing technology to address collective intelligence in social media and forums; the voice of the customer in surveys and emails; customer relationship management; e-services; research and e-discovery; risk and compliance; and intelligence analysis. (from en.wikipedia.org)
  • data mining: However, once a table of (unique) words (terms) by documents has been derived, all standard statistical and data mining techniques can be applied to derive dimensions or clusters of words or documents, or to identify 'important' words or terms that best predict another outcome variable of interest. (from www.statsoft.com)
  • natural language processing: It is a rather recent research field on the edge of natural language processing , bioinformatics , medical informatics and computational linguistics . (from en.wikipedia.org)
  • Biomedical text mining: Biomedical text mining (also known as BioNLP ) refers to text mining applied to texts and literature of the Biomedical and molecular biology domain (from en.wikipedia.org)
  • text analysis: Consolidating structured (quantitative) data analysis with unstructured (free-form text ) provides complete views and meaningful insights within an integrated predictive modeling environment (from www.sas.com)
  • input documents: At the simplest level, all words found in the input documents will be indexed and counted in order to compute a table of documents and words, i.e., a matrix of frequencies that enumerates the number of times that each word occurs in each document (from www.statsoft.com)
  • Text Miner: SAS Text Miner incorporates advanced linguistic capabilities within the core data mining solution of SAS Enterprise Miner (from www.sas.com)
  • textual data: Automating manual comprehension of the textual data sources, incorporating interactive drill-down reporting, and delivering algorithms for rigorous advanced analyses make it possible to grasp future trends and act on new opportunities more efficiently and with less risk. (from www.sas.com)
  • HTML files: Works as converter of PDF, DOC, RTF, CHM, HTML files to text . (from text-mining-tool.com)
  • Competitive intelligence: Categories: Application areas , Competitive intelligence , Expert System S.p.A (from www.texttechnologies.com)
  • credit card: A related application is automatic detection of fraud, such as in credit card usage (from people.ischool.berkeley.edu)
Theme Popularity:

Text mining 100%
   
data mining 67%
   
text analytics 33%
   
text mining applications 33%
   
natural language processing 33%
   
information extraction 33%
   
sentiment analysis 22%
   
Biomedical text mining 22%
   
text analysis 22%
   
Machine Learning 22%
   
Information Retrieval 22%
   
Text Categorization 22%
   
input documents 11%
   
Text Miner 11%
   
SAS Text Miner 11%
   
predictive modeling 11%
   
textual data 11%
   
SAS Enterprise 11%
   
SAS Enterprise Miner 11%
   
molecular biology 11%
   
computational linguistics 11%
   
HTML files 11%
   
Competitive intelligence 11%
   
Text Analytics Summit 11%
   
Expert System 11%
   
credit card 11%
   
Natural Language 11%
   

Back to Top

 Biomedical text mining   Competitive intelligence   computational linguistics   credit card   data mining   Expert System   HTML files   information extraction   Information Retrieval   input documents   Machine Learning   molecular biology   Natural Language   natural language processing   predictive modeling   SAS Enterprise   SAS Enterprise Miner   SAS Text Miner   sentiment analysis   text analysis   text analytics   Text Analytics Summit   Text Categorization   Text Miner   Text mining   text mining applications   textual data 


This research report was machine-generated using the Ultimate Research Assistant application, and is intended for the sole use of users of this application. Redistribution or publication is strictly prohibited without the express written permission of the site owner and the respective copyright holders of the content cited herein. This web site and all related content and functionality are provided "as is" without warranty of any kind, either express or implied, including, without limitation, the implied warranties of merchantability or fitness for a particular purpose. The entire risk arising out of use or performance of this site remains with you. Use at your own risk. Under no circumstances will the site owner be liable for any of the content placed by any individual on any portion of this site.