Trend Classification Methodology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00208807" target="_blank" >RIV/68407700:21230/13:00208807 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Trend Classification Methodology
Original language description
Web 2.0 (social networking, blogging, online forums, etc.) has been growing at a very high rate and becoming a network of heterogeneous data; this makes things difficult to find and is therefore not almost useful. It is necessary to design suitable metric for such volume of information, which would reflect semantic content of pages in the better way. One of the options for more accurate comprehension of semantic information is to use a sophisticated analysis of sentences called Sentiment Analysis. Thispaper discusses a novel model for gathering and processing data from Web 2.0. The model builds on webometrics and starts from the idea that almost any text can be machine-recognized. This idea is further verified using proposed methodology for a trend assessment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
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 IADIS International Conference WWW/INTERNET 2013
ISBN
978-989-8533-16-6
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
389-393
Publisher name
IADIS Press
Place of publication
Fort Worth, Texas
Event location
Fort Worth, TX
Event date
Oct 22, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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