Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Daniel A. Pietro"'
Autor:
Salvatore Giorgi, Johannes C. Eichstaedt, Daniel Preoţiuc-Pietro, Jacob R. Gardner, H. Andrew Schwartz, Lyle H. Ungar
Publikováno v:
Current Research in Ecological and Social Psychology, Vol 5, Iss , Pp 100159- (2023)
Full national coverage below the state level is difficult to attain through survey-based data collection. Even the largest survey-based data collections, such as the CDC's Behavioral Risk Factor Surveillance System or the Gallup-Healthways Well-being
Externí odkaz:
https://doaj.org/article/f7096938302449949c4b8221eed5f7bd
Autor:
Jordan Carpenter, Daniel Preotiuc-Pietro, Jenna Clark, Lucie Flekova, Laura Smith, Margaret L. Kern, Anneke Buffone, Lyle Ungar, Martin Seligman
Publikováno v:
Judgment and Decision Making, Vol 13, Pp 562-574 (2018)
Online, social media communication is often ambiguous, and it can encourage speed and inattentiveness. We investigated whether Actively Open Minded Thinking (AOT), a dispositional willingness to seek out new or potentially threatening information, ma
Externí odkaz:
https://doaj.org/article/33e8f6039bd2461d95c1f908475e3b1e
Autor:
Zahra Riahi Samani, Sharath Chandra Guntuku, Mohsen Ebrahimi Moghaddam, Daniel Preoţiuc-Pietro, Lyle H Ungar
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0198660 (2018)
Assessing the predictive value of different social media platforms is important to understand the variation in how users reveal themselves across multiple platforms. Most social media platforms allow users to interact in multiple ways: by posting con
Externí odkaz:
https://doaj.org/article/6e3b28d565c34f229f440563d664aa65
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 10:211-220
The content of images users post to their social media is driven in part by personality. In this study, we analyze how Twitter profile images vary with the personality of the users posting them. In our main analysis, we use profile images from over 6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76631b1ea69f8ad0510c89a2da7fd816
https://doi.org/10.1609/icwsm.v10i1.14738
https://doi.org/10.1609/icwsm.v10i1.14738
Publikováno v:
PeerJ Computer Science, Vol 2, p e93 (2016)
Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting
Externí odkaz:
https://doaj.org/article/5a73a648fc4e4daab51c7d75bb8ba8d7
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138717 (2015)
Automatically inferring user demographics from social media posts is useful for both social science research and a range of downstream applications in marketing and politics. We present the first extensive study where user behaviour on Twitter is use
Externí odkaz:
https://doaj.org/article/7ca1c46236294549999ee166396315f4
Publikováno v:
AAAI
In computational linguistics, specificity quantifies how much detail is engaged in text. It is an important characteristic of speaker intention and language style, and is useful in NLP applications such as summarization and argumentation mining. Yet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc4a48c0f389437215c2579eb6a24877
https://doi.org/10.1609/aaai.v33i01.33016415
https://doi.org/10.1609/aaai.v33i01.33016415
Publikováno v:
EACL
Identifying named entities in written text is an essential component of the text processing pipeline used in applications such as text editors to gain a better understanding of the semantics of the text. However, the typical experimental setup for ev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dd1d2f3a286923e28c959e5baa5d51
https://doi.org/10.18653/v1/2021.eacl-main.84
https://doi.org/10.18653/v1/2021.eacl-main.84
Publikováno v:
COLING
A 2018 study led by the Media Insight Project showed that most journalists think that a clearmarking of what is news reporting and what is commentary or opinion (e.g., editorial, op-ed)is essential for gaining public trust. We present an approach to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5073c20374d06634550adf30c5febf18
https://doi.org/10.18653/v1/2020.coling-main.540
https://doi.org/10.18653/v1/2020.coling-main.540
Publikováno v:
ACL
Named entity recognition is a key component of many text processing pipelines and it is thus essential for this component to be robust to different types of input. However, domain transfer of NER models with data from multiple genres has not been wid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::151ef6d0153888cc1bd362850f9d7029
https://doi.org/10.18653/v1/2020.acl-main.750
https://doi.org/10.18653/v1/2020.acl-main.750