Real-Time Data Harvesting Method for Czech Twitter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43931682" target="_blank" >RIV/49777513:23520/17:43931682 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0006212402590265" target="_blank" >http://dx.doi.org/10.5220/0006212402590265</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0006212402590265" target="_blank" >10.5220/0006212402590265</a>
Alternative languages
Result language
angličtina
Original language name
Real-Time Data Harvesting Method for Czech Twitter
Original language description
This paper deals with automatic analysis of Czech social media. The main goal is to propose an approach to harvest interesting messages from Twitter in Czech language with high download speed. This method uses user lists to discover potentially interesting tweets to download. The experimental results show that the proposed method is very efficient because it harvests about 6 times more data than the other approaches. This approach should be integrated into an experimental system for the Czech News Agency to monitor the current data-flow on Twitter, download messages in real-time, analyze them and extract relevant events.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
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
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 9th International Conference on Agents and Artificial Intelligence (ICAART 2017)
ISBN
978-989-758-220-2
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
259-265
Publisher name
SciTePress
Place of publication
Setúbal
Event location
Porto
Event date
Feb 24, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000413244200024