Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Roy, Deb K"'
Publikováno v:
Vosoughi
With the rise in popularity of public social media and micro-blogging services, most notably Twitter, the people have found a venue to hear and be heard by their peers without an intermediary. As a consequence, and aided by the public nature of Twitt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3adc089edbd38b2c97f516390836912
https://doi.org/10.1609/icwsm.v10i1.14816
https://doi.org/10.1609/icwsm.v10i1.14816
Publikováno v:
Vosoughi
While the most ambitious polls are based on standardized interviews with a few thousand people, millions are tweeting freely and publicly in their own voices about issues they care about. This data offers a vibrant 24/7 snapshot of people's response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c418c5a16cc9776cc4fe0235698380c
https://doi.org/10.1609/icwsm.v11i1.14968
https://doi.org/10.1609/icwsm.v11i1.14968
Publikováno v:
Vosoughi
This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016 Task 6). We utilized recent advances in short text categorization using deep learning to create word-level and character-level models. The choice between word-lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::f2082af33b9e362bc3eb5f0aa217fffd
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Autor:
Vosoughi, Soroush, Roy, Deb K.
Publikováno v:
Vosoughi
Speech acts are a way to conceptualize speech as action. This holds true for communication on any platform, including social media platforms such as Twitter. In this paper, we explored speech act recognition on Twitter by treating it as a multi-class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::b3eff4d9acbf1d76439c88e1cfb44771
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Autor:
Vosoughi, Soroush, Roy, Deb K.
Publikováno v:
Vosoughi
Twitter has become one of the main sources of news for many people. As real-world events and emergencies unfold,Twitter is abuzz with hundreds of thousands of stories about the events. Some of these stories are harmless, while others could potentiall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::f4ff907bc2eccef8b945629d95e2ae6d
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Autor:
Vosoughi, Soroush, Roy, Deb K.
Publikováno v:
Vosoughi
The spread of rumors on social media, especially in time-sensitive situations such as real-world emergencies, can have harmful effects on individuals and society. In this work, we developed a human-machine collaborative system on Twitter for fast ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::4e6d489a927fe1a28ece8a6694eef900
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Publikováno v:
Vosoughi
The rise in popularity and ubiquity of Twitter has made sentiment analysis of tweets an important and well-covered area of research. However, the 140 character limit imposed on tweets makes it hard to use standard linguistic methods for sentiment cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::eaf1f6537a38344cb93a2fa611280780
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Publikováno v:
Vosoughi
There is an ever growing number of users with accounts on multiple social media and networking sites. Consequently, there is increasing interest in matching user accounts and profiles across different social networks in order to create aggregate prof
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::9d543ea73a39817b148afa456dde3973
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194
Publikováno v:
Vosoughi
Natural language is rich and varied, but also highly structured. The rules of grammar are a primary source of linguistic regularity, but there are many other factors that govern patterns of language use. Language models attempt to capture linguistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::f96ea3a6d4acf893af7e4884be2a7696
https://orcid.org/0000-0002-4333-7194
https://orcid.org/0000-0002-4333-7194