Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sara Koleini"'
Publikováno v:
International Journal of Information Science and Management, Vol 18, Iss 1, Pp 1-15 (2020)
Nowadays the amount of textual information on the web is grown rapidly. The huge textual data needs more accurate classification algorithms. Sentiment analysis is a branch of text classification that is used to classify user opinions in case of marke
Externí odkaz:
https://doaj.org/article/a37de1d53ea54c12b5d5c2e04a467078
Publikováno v:
International Journal of Information Science and Management, Vol 17, Iss 1 (2019)
Heterogeneous data in all groups are growing on the web nowadays. Because of the variety of data types in the web search results, it is common to classify the results in order to find the preferred data. Many machine learning methods are used to clas
Externí odkaz:
https://doaj.org/article/89c8ded7bf0f4550a805fd711525e656
Publikováno v:
International Journal of Information Science and Management, Vol 15, Iss 2 (2017)
The Digital Object Recognizer (DOR) is a system for identifying Persian digital objects on the web. DOR is a unique alphanumeric string assigned by Regional Information Center for Science and Technology (RICeST) to any entity to identify content and
Externí odkaz:
https://doaj.org/article/2ce08ed557ef4be1a139ccfd722d50d1
Publikováno v:
International Journal of Information Science and Management, Vol 11, Iss 2, Pp 91-103 (2013)
The main idea of this survey was to gather the data related to Malaysian Open Access Journals (OAJs) with respect to their subject, host organization, indexing, full text availability and language during 2005-2012. Malaysian journals were selected fo
Externí odkaz:
https://doaj.org/article/17ae519cbef943a39d50a6ddbaa62729
Publikováno v:
Communications in Computer and Information Science ISBN: 9789813368347
ACeS
ACeS
In the future, every physical thing or object will be connected in scenarios that are divergent than merely connected human and make everything intelligent. As everything becomes connected and intelligent, it is driving digital transformation of all
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35062a90d0a279c4b0e1eaa3ecf47f1f
https://doi.org/10.1007/978-981-33-6835-4_18
https://doi.org/10.1007/978-981-33-6835-4_18
Publikováno v:
Signal and Data Processing. 16:128-117