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)
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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
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