Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Padmini Srinivasan"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 17, Iss 1, Pp 1-12 (2017)
Abstract Background It is becoming increasingly common for individuals and organizations to use social media platforms such as Facebook. These are being used for a wide variety of purposes including disseminating, discussing and seeking health relate
Externí odkaz:
https://doaj.org/article/0959ac78443542249a4972439b719453
Autor:
Chao Yang, Padmini Srinivasan
Publikováno v:
PLoS ONE, Vol 11, Iss 3, p e0150881 (2016)
Life satisfaction refers to a somewhat stable cognitive assessment of one's own life. Life satisfaction is an important component of subjective well being, the scientific term for happiness. The other component is affect: the balance between the pres
Externí odkaz:
https://doaj.org/article/889f638620f64b28ad05b0bff139791a
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e112235 (2014)
To investigate factors associated with engagement of U.S. Federal Health Agencies via Twitter. Our specific goals are to study factors related to a) numbers of retweets, b) time between the agency tweet and first retweet and c) time between the agenc
Externí odkaz:
https://doaj.org/article/e9f64e50e2a04f8ea959eeaddb5e3875
Autor:
Yelena Mejova, Padmini Srinivasan
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:546-549
In this paper, we systematically explore feature definition and selection strategies for sentiment polarity classification. We begin by exploring basic questions, such as whether to use stemming, term frequency versus binary weighting, negation-enric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9469bc22d5b1331c1bd87d0b65c952a3
https://doi.org/10.1609/icwsm.v5i1.14163
https://doi.org/10.1609/icwsm.v5i1.14163
Autor:
Ingroj, Shrestha, Padmini, Srinivasan
Publikováno v:
AMIA Annu Symp Proc
Mental illness, a serious problem across the globe, requires multi-pronged solutions including effective computational models to predict illness. Mental illness diagnosis is complicated by the pronounced sharing of symptoms and mutual pre-disposition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::eda87bba538558d3040e4386fcddcd1e
https://pubmed.ncbi.nlm.nih.gov/35308915
https://pubmed.ncbi.nlm.nih.gov/35308915
Publikováno v:
Organizational Research Methods. 25:114-146
Recent advances in text mining have provided new methods for capitalizing on the voluminous natural language text data created by organizations, their employees, and their customers. Although often overlooked, decisions made during text preprocessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593dabe04d947a01b058ee1dabeca54e
https://doi.org/10.1177/1094428120971683
https://doi.org/10.1177/1094428120971683
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dba08ae27a89898ba8e76d0908218b9
https://doi.org/10.18653/v1/2022.acl-long.509
https://doi.org/10.18653/v1/2022.acl-long.509
Prior research has discussed and illustrated the need to consider linguistic norms at the community level when studying taboo (hateful/offensive/toxic etc.) language. However, a methodology for doing so, that is firmly founded on community language n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::289ab757786792fbf42da3e2c4e83f70
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 4, Pp 54-71 (2019)
Stylometric authorship attribution aims to identify an anonymous or disputed document’s author by examining its writing style. The development of powerful machine learning based stylometric authorship attribution methods presents a serious privacy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9099c3dfeceda04426b7b3f09e182bd3
https://doaj.org/article/5224ea095b66432fa9f84e193bf1662a
https://doaj.org/article/5224ea095b66432fa9f84e193bf1662a
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2019, Iss 4, Pp 172-189 (2019)
There is a natural tension between the desire to share information and keep sensitive information private on online social media. Privacy seeking social media users may seek to keep their location private by avoiding the mentions of location revealin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fdabd0178652ad7e7895190c25a0e12
https://doi.org/10.2478/popets-2019-0064
https://doi.org/10.2478/popets-2019-0064