Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Saroj Kaushik"'
Autor:
Sunita Tiwari, Saroj Kaushik
Publikováno v:
Journal of Cases on Information Technology. 24:1-17
The cost-effective and easy availability of handheld mobile devices and ubiquity of location acquisition services such as GPS and GSM networks has helped expedient logging and sharing of location histories of mobile users. This work aims to find sema
Autor:
Priti Jagwani, Saroj Kaushik
Publikováno v:
International Journal of Information Security and Privacy. 15:19-32
Location-based services refer to services that use location as primary input. But accessing user's location by an adversary invites issues of privacy breach. Instead of specific location coordinates, its surrounding area known as cloaking region is r
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030054137
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
The hashtag recommendation systems on Twitter have largely focused on analyzing the text content of tweets. In this work, we modify the state-of-the-art existing natural language processing (NLP) technique and deeply ingrain socio-temporal techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2512d17738d649e3be981f90091c7417
https://doi.org/10.1007/978-3-030-05414-4_28
https://doi.org/10.1007/978-3-030-05414-4_28
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030054137
COMPLEX NETWORKS (2)
COMPLEX NETWORKS (2)
We perform a first-of-its-kind characterization of topical homophily - familiarity co-occurring with topic-participation similarity of user pairs - by correlating topic participation similarity and degree of familiarity of users on Twitter. We quanti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46fb52d1f28099ff5ed5e957135c9f8d
https://doi.org/10.1007/978-3-030-05414-4_29
https://doi.org/10.1007/978-3-030-05414-4_29
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030054106
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
Traditional information spread and activation models on social networks, fail to take user interests towards specific content (topics) into account. To this, we propose a predictive topical spreading activation model (TopSPA). Following cues from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b661150a89c2407eece0faaa8d77c07
https://doi.org/10.1007/978-3-030-05411-3_29
https://doi.org/10.1007/978-3-030-05411-3_29
Autor:
Saroj Kaushik, Shivendra Tiwari
Publikováno v:
Open Computer Science, Vol 6, Iss 1, Pp 8-24 (2016)
Identifying the interesting places through GPS trajectory mining has been well studied based on the visitor’s frequency. However, the places popularity estimation based on the trajectory analysis has not been explored yet. The limitation in the maj
Publikováno v:
Journal of Computers. :463-471
Autor:
Priti Jagwani, Saroj Kaushik
Publikováno v:
International Journal of Engineering and Technology. 8:458-461
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
The topical stance detection problem addresses detecting the stance of the text content with respect to a given topic: whether the sentiment of the given text content is in favor of (positive), is against (negative), or is none (neutral) towards the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f28930b866ce55dcf1b89c9185bf9b7f
https://doi.org/10.1007/978-3-319-76941-7_40
https://doi.org/10.1007/978-3-319-76941-7_40
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319769400
ECIR
ECIR
Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research popularity. In the literature, topics are often treated as one of (a) hashtags
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d451f7d65cafad253316a965ccb5312
https://doi.org/10.1007/978-3-319-76941-7_3
https://doi.org/10.1007/978-3-319-76941-7_3