HjemGrupperSnakMereZeitgeist
Søg På Websted
På dette site bruger vi cookies til at levere vores ydelser, forbedre performance, til analyseformål, og (hvis brugeren ikke er logget ind) til reklamer. Ved at bruge LibraryThing anerkender du at have læst og forstået vores vilkår og betingelser inklusive vores politik for håndtering af brugeroplysninger. Din brug af dette site og dets ydelser er underlagt disse vilkår og betingelser.

Resultater fra Google Bøger

Klik på en miniature for at gå til Google Books

Natural Language Processing for Social…
Indlæser...

Natural Language Processing for Social Media: Third Edition (Synthesis Lectures on Human Language Technologies) (udgave 2020)

af Anna Atefeh Farzindar (Forfatter), Diana Inkpen (Forfatter)

MedlemmerAnmeldelserPopularitetGennemsnitlig vurderingSamtaler
1Ingen7,662,328IngenIngen
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.… (mere)
Medlem:michelleqcy
Titel:Natural Language Processing for Social Media: Third Edition (Synthesis Lectures on Human Language Technologies)
Forfattere:Anna Atefeh Farzindar (Forfatter)
Andre forfattere:Diana Inkpen (Forfatter)
Info:Morgan & Claypool Publishers (2020), Edition: 3, 220 pages
Samlinger:Dit bibliotek
Vurdering:
Nøgleord:natural language processing, pdf-only

Work Information

Natural Language Processing for Social Media: Third Edition (Synthesis Lectures on Human Language Technologies) af Anna Atefeh Farzindar

Nyligt tilføjet afmichelleqcy
Ingen
Indlæser...

Bliv medlem af LibraryThing for at finde ud af, om du vil kunne lide denne bog.

Der er ingen diskussionstråde på Snak om denne bog.

Ingen anmeldelser
ingen anmeldelser | tilføj en anmeldelse
Du bliver nødt til at logge ind for at redigere data i Almen Viden.
For mere hjælp se Almen Viden hjælpesiden.
Kanonisk titel
Originaltitel
Alternative titler
Oprindelig udgivelsesdato
Personer/Figurer
Vigtige steder
Vigtige begivenheder
Beslægtede film
Indskrift
Tilegnelse
Første ord
Citater
Sidste ord
Oplysning om flertydighed
Forlagets redaktører
Bagsidecitater
Originalsprog
Canonical DDC/MDS
Canonical LCC

Henvisninger til dette værk andre steder.

Wikipedia på engelsk

Ingen

In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.

No library descriptions found.

Beskrivelse af bogen
Haiku-resume

Current Discussions

Ingen

Populære omslag

Quick Links

Vurdering

Gennemsnit: Ingen vurdering.

Er det dig?

Bliv LibraryThing-forfatter.

 

Om | Kontakt | LibraryThing.com | Brugerbetingelser/Håndtering af brugeroplysninger | Hjælp/FAQs | Blog | Butik | APIs | TinyCat | Efterladte biblioteker | Tidlige Anmeldere | Almen Viden | 203,197,195 bøger! | Topbjælke: Altid synlig