Text mining

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Synonyms: Text data mining, Textmining, Text Data Mining

Text mining, sometimes alternately referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the divining of patterns and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of others, and subsequent insertion into a database), deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, production of granular taxonomies, sentiment analysis, document summarization, and entity relation modeling (i.e. , learning relations between named entities).

Related terms:
TextDigger, SAP HANA, PoolParty Semantic SuiteWeb based ontology manager which can serve as a central hub for your knowledge organization. With PoolParty you can organize and maintain knowledge models based on widely accepted specifications like RDF, SPARQL and SKOS., Intrafind, Klout, NsteinNstein Technologies Inc. was founded in January 2000 via a merger between the I.T. research and development firm GESPRO and Net Création, a technology marketing company. At the time, the company mandate was to develop and market “intelligent interactive linguistic tools based on innovative ..., Lexalytics, Ronen Feldman, Philipp Cimiano, Text analyticsThe term text analytics describes a set of linguistic, statistical, and machine learning techniques that model and structure the information content of textual sources for business intelligence, exploratory data analysis, research, or investigation. The term is roughly synonymous with text ..., SAS Text Analyticshttp://www.sas.com/text-analytics/, Christian Blaschke

Broader terms:
Computer linguisticsComputational linguistics is an interdisciplinary field concerned with the statistical or rule-based modeling of natural language from a computational perspective. Traditionally, computational linguistics was usually performed by computer scientists who had specialized in the application of ...

Narrower terms:
Named entity recognitionNamed entity recognition (NER) (also known as entity identification and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, ..., Information extractionInformation extraction (IE) is a type of information retrieval whose goal is to automatically extract structured information from unstructured machine-readable documents, generally human language texts by means of natural language processing (NLP). Due to the difficulty of the problem, current ..., Text categorisation, Sentiment analysisSentiment analysis or opinion mining refers to a broad (definitionally challenged) area of natural language processing, computational linguistics and text mining. Generally speaking, it aims to determine the attitude of a speaker or a writer with respect to some topic. The attitude may be their ..., Phrase extraction, Text clustering, Text summarisation

Linked data frontend for Text mining.