Du er her:
Sentiment Analysis in Social Networks af Bing Liu, Elisabetta Fersini, Enza Messina

Sentiment Analysis in Social Networks

(E-bog, PDF)

Beskrivelse: The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in... Læs mere

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and... Læs mere

Produktdetaljer:

Sprog:
Engelsk
ISBN-13:
9780128044384
Sideantal:
284
Udgivet:
23-09-2016
Vis mere

Sæt bog på liste

  • Bogliste
 
kr. 549,95
-26%
kr. 402,75



OBS!
E-bogen kan ikke læses på Kindle eller i iBooks. Du kan læse e-bogen på computer, tablet, smartphone og diverse e-bogslæsere. Du skal bruge et specielt læseprogram til din enhed. Læs mere om programmer, sidetal og print af e-bøger her.



Forlagets beskrivelse
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network analysisShows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analyticsTakes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologiesProvides insights into opinion spamming, reasoning, and social network miningShows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequencesServes as a one-stop reference for the state-of-the-art in social media analytics

Kundernes boganmeldelser af Sentiment Analysis in Social Networks


Der er ingen anmeldelser af Sentiment Analysis in Social Networks

for at skrive en anmeldelse.

Se andre bøger, der handler om:

Se også: