Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

DPD courier 4.99 € GLS courier 9.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Twitter Topic Summarization

Name: Twitter Topic Summarization
Brand: LAP Lambert Academic Publishing
SKU: 13926373
Price: 44.4 EUR
Availability: InStock
Author: Gulab R. Shaikh
ISBN: 9783659923333

Gulab R. Shaikh

Digambar M. Padulkar

Language

English

Book Paperback

Libristo code: 13926373

Publishers LAP Lambert Academic Publishing, November 2015

In todays Internet world, so many people are using social media services such as Twitter, Facebook,... Full description

Libristo code: 13926373

108 b

44.40 €

In stock at our supplier Shipping in 8-11 days

Up to 30 days for returns

Customers also purchased

Hermes der Mondgott Ernst Siecke

Paperback

20.48 €

Contra la paz, contra la democracia Agustín García Calvo

Paperback

15.53 €

Tiempo de secretos Marjaleena Lembcke

Paperback

11.90 €

Proyecto y viabilidad del negocio o microempresa : certificado de profesionalidad de creación y gestión de microempresas Obra colectiva

Paperback

32.79 €

Souvenirs de la Petite Et de la Grande Roquette Recueillis de Differents Cotes Et MIS En Ordre Moreau-A

Paperback

31.98 €

Suspiros Del Alma Marcos Pena

Paperback

29.97 €

Yendo a buscar Marcelo Celis de Oliveira

Paperback

18.96 €

Báječné samolepkové hádanky

Book

3.52 €

In todays Internet world, so many people are using social media services such as Twitter, Facebook, Google+ etc. Automatic summarization of Twitter messages (tweets) is an urgent need for efficient processing of the tweeted information.Twitter topic summarization deals with short, dissimilar, and noisy nature of tweets. In this work, from given twitter tweet under particular trending topic first we recognize speech acts(i.e statement,Suggestion,Question and Comment) in tweets.Depending on majority of speech act we extract key words and phrases from the tweets.Then extracted key words and phrases are ranked and inserted into special summary templates which is designed for speech acts. Finally we generate template based summary. This proposed approach makes a solid contribution to the summarization community.