@prefix rdf:	<http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix dbpedia:	<http://dbpedia.org/resource/> .
@prefix ns2:	<http://dbpedia.org/class/yago/> .
dbpedia:Noisy_text_analytics	rdf:type	ns2:ArtificialIntelligenceApplications .
@prefix owl:	<http://www.w3.org/2002/07/owl#> .
@prefix ns4:	<http://umbel.org/umbel/ne/wikipedia/> .
dbpedia:Noisy_text_analytics	owl:sameAs	ns4:Noisy_text_analytics ,
		<http://rdf.freebase.com/ns/guid.9202a8c04000641f8000000000d91bda> .
@prefix foaf:	<http://xmlns.com/foaf/0.1/> .
@prefix ns6:	<http://en.wikipedia.org/wiki/> .
dbpedia:Noisy_text_analytics	foaf:page	ns6:Noisy_text_analytics .
@prefix dbpprop:	<http://dbpedia.org/property/> .
dbpedia:Noisy_text_analytics	dbpprop:reference	<http://explorer.csse.uwa.edu.au/research/algorithm_issac.pl> ,
		<http://arXiv.org/abs/0810.0332> ,
		<http://www.springerlink.com/content/ql711884654q/?p=c6beb20b8dfa4389b5e4daf2dd63618e&pi=0> .
@prefix rdfs:	<http://www.w3.org/2000/01/rdf-schema#> .
dbpedia:Noisy_text_analytics	rdfs:label	"Noisy text analytics"@en ;
	dbpprop: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 \u201Cum\u201D and \u201Cuh\u201D 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\u2019s 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 analytics techniques."@en ;
	rdfs: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."@en .
@prefix skos:	<http://www.w3.org/2004/02/skos/core#> .
@prefix ns10:	<http://dbpedia.org/resource/Category:> .
dbpedia:Noisy_text_analytics	skos:subject	ns10:Information_retrieval ,
		ns10:Computational_linguistics ,
		ns10:Natural_language_processing ,
		ns10:Artificial_intelligence_applications .
@prefix ns11:	<http://www4.wiwiss.fu-berlin.de/flickrwrappr/photos/> .
dbpedia:Noisy_text_analytics	dbpprop:hasPhotoCollection	ns11:Noisy_text_analytics .
@prefix yago:	<http://mpii.de/yago/resource/> .
yago:Noisy_text_analytics	owl:sameAs	dbpedia:Noisy_text_analytics .