Event Detection in Czech Twitter

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43930510" target="_blank" >RIV/49777513:23520/16:43930510 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Event Detection in Czech Twitter

Original language description

The main goal of this paper is to create a novel experimental system for the Czech News Agency (ČTK) which is able to monitor the current data flow on Twitter, analyze it and extract relevant events. A novel event detection approach adapted to the Czech Twitter is thus proposed. It uses user-lists to discover potentially interesting tweets which are further clustered into groups based on the content. The final decision is based on thresholding. The main research contribution is to propose an original approach to harvest potential events from Twitter with high download speed. We experimentally show that the proposed approach is useful because it detects a significant amount of the events.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Research in Computing Science

ISSN

1870-4069

e-ISSN

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Volume of the periodical

110

Issue of the periodical within the volume

1

Country of publishing house

MX - MEXICO

Number of pages

10

Pages from-to

85-94

UT code for WoS article

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EID of the result in the Scopus database

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