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- Noisy_text_analytics abstract "Noisy text analytics is a process of information extraction whose goal is to automatically extract structured or semistructured information from noisy unstructured text data. While Text analytics is a growing and mature field that has great value because of the huge amounts of data being produced, processing of noisy text is gaining in importance because a lot of common applications produce noisy text data. Noisy unstructured text data is found in informal settings such as online chat, text messages, e-mails, message boards, newsgroups, blogs, wikis and web pages. Also, text produced by processing spontaneous speech using automatic speech recognition and printed or handwritten text using optical character recognition contains processing noise. Text produced under such circumstances is typically highly noisy containing spelling errors, abbreviations, non-standard words, false starts, repetitions, missing punctuations, missing letter case information, pause filling words such as “um” and “uh” and other texting and speech disfluencies. Such text can be seen in large amounts in contact centers, chat rooms, optical character recognition (OCR) of text documents, short message service (SMS) text, etc. Documents with historical language can also be considered noisy with respect to today’s knowledge about the language. Such text contains important historical, religious, ancient medical knowledge that is useful. The nature of the noisy text produced in all these contexts warrants moving beyond traditional text analysis techniques.".
- Noisy_text_analytics wikiPageExternalLink 0810.0332.
- Noisy_text_analytics wikiPageExternalLink ?p=c6beb20b8dfa4389b5e4daf2dd63618e&pi=0.
- Noisy_text_analytics wikiPageID "6026708".
- Noisy_text_analytics wikiPageRevisionID "506708525".
- Noisy_text_analytics hasPhotoCollection Noisy_text_analytics.
- Noisy_text_analytics subject Category:Artificial_intelligence_applications.
- Noisy_text_analytics subject Category:Computational_linguistics.
- Noisy_text_analytics subject Category:Information_retrieval.
- Noisy_text_analytics subject Category:Natural_language_processing.
- Noisy_text_analytics subject Category:Statistical_natural_language_processing.
- Noisy_text_analytics type Abstraction100002137.
- Noisy_text_analytics type Application106570110.
- Noisy_text_analytics type ArtificialIntelligenceApplications.
- Noisy_text_analytics type Code106355894.
- Noisy_text_analytics type CodingSystem106353757.
- Noisy_text_analytics type Communication100033020.
- Noisy_text_analytics type Program106568978.
- Noisy_text_analytics type Software106566077.
- Noisy_text_analytics type Writing106359877.
- Noisy_text_analytics type WrittenCommunication106349220.
- Noisy_text_analytics comment "Noisy text analytics is a process of information extraction whose goal is to automatically extract structured or semistructured information from noisy unstructured text data. While Text analytics is a growing and mature field that has great value because of the huge amounts of data being produced, processing of noisy text is gaining in importance because a lot of common applications produce noisy text data.".
- Noisy_text_analytics label "Noisy text analytics".
- Noisy_text_analytics sameAs m.0fl6zv.
- Noisy_text_analytics sameAs Q17147076.
- Noisy_text_analytics sameAs Q17147076.
- Noisy_text_analytics sameAs Noisy_text_analytics.
- Noisy_text_analytics wasDerivedFrom Noisy_text_analytics?oldid=506708525.
- Noisy_text_analytics isPrimaryTopicOf Noisy_text_analytics.