Parallel Processing of Very Many Textual Customers' Reviews Freely Written Down in Natural Languages

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F12%3A00191656" target="_blank" >RIV/62156489:43110/12:00191656 - 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
Parallel Processing of Very Many Textual Customers' Reviews Freely Written Down in Natural Languages
Original language description
Text mining of hundreds of thousand or millions of documents written in a natural language is limited by the computational complexity (time and memory) and computer performance. Many applications can use only standard personal computers. In this case, the whole data set has to be divided into smaller subsets that can be processed in parallel. This article deals with the problem how to divide the original data set, which represents a typical collection containing two millions of customers' reviews written in English. The main goal is to mine information the quality of which is comparable with information obtained from the whole set despite the fact that the mining is carried out using subsets of the original large data set. The article suggests a methodof dividing the set into subsets including a possibility of evaluating the mining results by comparing the unified outputs of individual subsets with the original set. The suggested method is illustrated with a task that searches for sig
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IMMM 2012: The Second International Conference on Advances in Information Mining and Management
ISBN
978-1-61208-227-1
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
147-153
Publisher name
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Place of publication
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Event location
Venice, Italy
Event date
Jan 1, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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