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Text mining

Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." Written resources may include websites, books, emails, reviews, and articles.…

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Overview

Text analytics

Text analysis processes

Applications

Software

Intellectual property law

Implications

Sources

  • ISBN ISBN (identifier)

Advanced semantic analysis

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Map overview Semantic statistics

Text mining

Nodes142
Edges141
Triples163
Avg. degree1.99
Density0.014085
Components1

How this topic connects Entity context

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Text mining

Top relations

related to Sources · 59
Text mining → Ananiadou, Applications, Artech House Books, Biology, Biomedicine, Boca Raton, Building, Cambridge, Cambridge University Press, Charles River Media, Classification, Clustering, CRC Press, CRM, Damerau, Delen, DM Review, Edition, Editor, Editors
has application · 37
Text mining → Academic, Additionally, All, Coussement, Definition, DTD, For, For Python, Gensim, GoPubMed, Governments, Health's, IBM, In, Internet, It, Journal Publishing Document Type, Legal, Many, Microsoft
related to Situation in the United States · 9
Text mining → America, As, For, Google Book, Google's, Israel, South Korea, Taiwan, US
related to External links · 7
Text mining → Automatic Content Extraction, Linguistic Data Consortium Archived, Marti Hearst, NIST, October, Wayback MachineAutomatic Content Extraction, What Is Text Mining
related to Situation in the United Kingdom · 7
Text mining → Hargreaves, However, In, Information Society Directive, It, Japan, UK
related to Implications · 6
Text mining → Additionally, For, In, Now, Text, Until
related to Text analytics · 5
Text mining → It, Ronen Feldman, Text, The, These
see also · 2
Text mining → Concept, Named
related to Software · 1
Text mining → Text

Important terminology Word statistics

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Important terminology

text mining information analysis data research isbn document analytics content used may extraction business use textual statistical applications software also

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
statistical pattern learninginstance ofHigh-quality information is typically obtained by devising patterns and trends by means0.80text
telephone numbersinstance ofFeatures0.80text
e-mail addressesinstance ofFeatures0.80text
quantitiesinstance ofFeatures0.80text
tokenizationinstance ofa casual personal text for the purpose of psychological profiling etc.Pre-processing usually involves tasks0.80text
filteringinstance ofa casual personal text for the purpose of psychological profiling etc.Pre-processing usually involves tasks0.80text
stemminginstance ofa casual personal text for the purpose of psychological profiling etc.Pre-processing usually involves tasks0.80text
the life sciencesinstance ofand to support scientific discovery in fields0.80text
bioinformaticsinstance ofand to support scientific discovery in fields0.80text
Internet newsinstance ofespecially monitoring and analysis of online plain text sources0.80text
blogsinstance ofespecially monitoring and analysis of online plain text sources0.80text
etc. for national security purposesinstance ofespecially monitoring and analysis of online plain text sources0.80text

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    Min side: 3
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