Five Ws, one H and many tweets

Author

Szucs, Imre ; Gombos, Gergo ; Kiss, A.

Author_Institution

Dept. of Inf. Syst., Eotvos Lorand Univ., Budapest, Hungary

fYear

2013

fDate

2-5 Dec. 2013

Firstpage

441

Lastpage

446

Abstract

Widespread using of microblogs leads to have tremendous user generated data available which may characterize the social behavior and relationship of users. Beside the chance to extract some valuable information from the huge amount of data, there are a lot of non-trivial, task specific issue have to be solved to get real value. Detecting and characterizing events, defining users and their relationships, concluding on the reasons are all important questions, have to be understood well, to get a clear picture on the social network behavior of users and to answer WHO, WHEN, WHERE, WHAT, WHY and HOW questions.

Keywords

data mining; social networking (online); text analysis; event detection; how question answering; microblogs; social behavior; social network behavioural patterns; text mining; tweets; what question answering; when question answering; where question answering; who question answering; why question answering; Conferences; Data mining; Density functional theory; Event detection; Indexes; Twitter; Twitter; behaviour analysis; event detection; social network;

fLanguage

English

Publisher

ieee

Conference_Titel

Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on

Conference_Location

Budapest

Print_ISBN

978-1-4799-1543-9

Type

conf

DOI

10.1109/CogInfoCom.2013.6719287

Filename

6719287