Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jonathan Schler"'
Publikováno v:
PLoS ONE, Vol 19, Iss 7, p e0307115 (2024)
Citation networks enable analysis of author groups, defining in-group dynamics, and mapping out inter-group relationships. While intellectual diversity and inclusiveness is one of the important principles of modern scholarship, it is intriguing to ex
Externí odkaz:
https://doaj.org/article/f625352c56d64bf18cb6df1b7ac79629
Publikováno v:
Applied Artificial Intelligence, Vol 33, Iss 6, Pp 483-496 (2019)
Corpus-based automatic thesaurus construction uses linguistic methods, such as Part-of-Speech taggers and parsers, which often perform poorly on MRLs. Therefore, in this paper, we focused on the complex task of adapting corpus-based thesaurus constru
Externí odkaz:
https://doaj.org/article/27955b7fb73648dfa214029427738b6e
Autor:
Allon Hammer, Jonathan Schler
Publikováno v:
Information Management and Big Data ISBN: 9783030762278
SIMBig
SIMBig
Billions of ads are displayed on a daily basis, making it a multi-billion industry. Most of web pages contain multiple ads, which are largely served in real time using a bidding process where buyers (advertisers) offer a price tag to the seller (publ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708480d7708b24f9b3e1f814b85e5a03
https://doi.org/10.1007/978-3-030-76228-5_29
https://doi.org/10.1007/978-3-030-76228-5_29
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 2:170-171
In this paper, we describe our Brand Association Map (BAM) tool which maps and visualizes the way consumers naturally think and talk about brands across billions of unaided conversations online. BAM is a semi-supervised tool that leverages text-minin
Publikováno v:
IEEE BigData
Astroturfing is the practice of using a fake online social media (OSM) profile in order to influence public opinion, while giving the impression that the profile belongs to an authentic human user. The proliferation of such profiles in the political
Publikováno v:
WWW (Companion Volume)
This paper suggests the use of automatic topic modeling for large-scale corpora of privacy policies using unsupervised learning techniques. The advantages of using unsupervised learning for this task are numerous. The primary advantages include the a
Publikováno v:
Journal on Computing and Cultural Heritage. 9:1-26
A cross-period (diachronic) thesaurus enables users to search for information using modern terminology and obtain semantically related terms from earlier historical periods. The complex task of supporting the construction of a diachronic thesaurus by
Publikováno v:
CLPsych@ACL
In this paper, we provide the first quantified exploration of the structure of the language of dreams, their linguistic style and emotional content. We present a collection of digital dream logs as a viable corpus for the growing study of mental heal
Publikováno v:
Journal on Computing and Cultural Heritage. 6:1-19
This article describes methods for semiautomatic thesaurus construction, for a cross generation, cross genre, and cross cultural corpus. Semiautomatic thesaurus construction is a complex task, and applying it on a cross generation corpus brings its o