Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Riham Mansour"'
Publikováno v:
Arabian Journal for Science and Engineering. 43:8095-8109
Document categorization became a crucial task to organize the massive amount of data over the web. Moreover, many web repositories tended to classify its articles to hierarchies of topics. This structure facilitates connecting related topics and reac
Publikováno v:
CoNLL
Conversational AI systems are gaining a lot of attention recently in both industrial and scientific domains, providing a natural way of interaction between customers and adaptive intelligent systems. A key requirement in these systems is the ability
Autor:
Hicham G. Elmongui, Riham Mansour
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319771151
CICLing (2)
CICLing (2)
Micro-blogging services have emerged as a powerful, real-time, way to disseminate information on the web. A small fraction of the colossal volume of posts overall are relevant. We propose Curator, a micro-blogging recommendation system that ranks mic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::858a180284458918f0336d3e9540af5c
https://doi.org/10.1007/978-3-319-77116-8_26
https://doi.org/10.1007/978-3-319-77116-8_26
Publikováno v:
AICCSA
Twitter has emerged as one of the most powerful micro-blogging services for real-time sharing of information on the web. A large base of Twitter users tend to post short messages of 140 characters (Tweets) reflecting a variety of topics. Location-bas
Autor:
Ahmed El-Sharkasy, Rania Ibrahim, Hicham G. Elmongui, Shaymaa Khater, Hader Morsy, Riham Mansour
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181165
CICLing (2)
CICLing (2)
Twitter has emerged as one of the most powerful micro-blogging services for real-time sharing of information on the web. The large volume of posts in several topics is overwhelming to twitter users who might be interested in only few topics. To this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee32dbe1810b4e752fa599cf2216e0d2
https://doi.org/10.1007/978-3-319-18117-2_20
https://doi.org/10.1007/978-3-319-18117-2_20
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181165
CICLing (2)
CICLing (2)
Feature selection is an important problem for any pattern classification task. In this paper, we developed an ensemble of two Maximum Entropy classifiers for Twitter sentiment analysis: one for subjectivity and the other for polarity classification.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d4477e15293a1dfc7e0ca338e151f98
https://doi.org/10.1007/978-3-319-18117-2_7
https://doi.org/10.1007/978-3-319-18117-2_7