Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ryan Rivas"'
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-19 (2022)
Abstract Twitter is a frequent target for machine learning research and applications. Many problems, such as sentiment analysis, image tagging, and location prediction have been studied on Twitter data. Much of the prior work that addresses these pro
Externí odkaz:
https://doaj.org/article/64e82e6eb71342f4a6719168189fc36b
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-24 (2019)
Abstract This paper studies how the presence of universities and hospitals influences local home prices and rents. We analyze the data on ZIP code level and on the level of individual homes. Our ZIP code-level analysis uses median home price data fro
Externí odkaz:
https://doaj.org/article/1ffa4ee4ceec40bb88a3eefb85fda117
Autor:
Ryan Rivas, Vagelis Hristidis
Publikováno v:
Data Mining and Knowledge Discovery. 35:1809-1829
Applying text classification to find social media posts relevant to a topic of interest is the focus of a substantial amount of research. A key challenge is how to select a good training set of posts to label. This problem has traditionally been solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f054b0882d41af52b33e5979e8263dbb
https://doi.org/10.1007/s10618-021-00768-2
https://doi.org/10.1007/s10618-021-00768-2
Publikováno v:
Journal of Health Psychology. 26:2577-2591
This feasibility study employed a new approach to capturing pain disclosure in face-to-face and online interactions, using a newly developed tool. In Study 1, 13 rheumatoid arthritis and 52 breast cancer patients wore the Electronically Activated Rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c703f313ee4bfd9e02ee80840bce727c
https://doi.org/10.1177/1359105320918322
https://doi.org/10.1177/1359105320918322
Publikováno v:
International Journal of Semantic Computing. 13:471-495
Customer reviews are an essential resource to reduce an online product’s uncertainty, which has been shown to be a critical factor for its purchase decision. Existing e-commerce platforms typically ask users to write free-form text reviews, which a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f98a2d0ee0a18cb028bbeab8bf290f6d
https://doi.org/10.1142/s1793351x19400208
https://doi.org/10.1142/s1793351x19400208
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 5, p e17224 (2020)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background There have been recurring reports of web-based harassment and abuse among adolescents and young adults through anonymous social networks. Objective This study aimed to explore discussions on the popular anonymous social network Yik Yak rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::072549d6085f89b8e4cb6a5718ac64ee
http://www.jmir.org/2020/5/e17224/
http://www.jmir.org/2020/5/e17224/
BACKGROUND There have been recurring reports of web-based harassment and abuse among adolescents and young adults through anonymous social networks. OBJECTIVE This study aimed to explore discussions on the popular anonymous social network Yik Yak rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27fd5f2567b1d2f337add70ed74238e7
https://doi.org/10.2196/preprints.17224
https://doi.org/10.2196/preprints.17224
BACKGROUND The increasing volume of health-related social media activity, where users connect, collaborate, and engage, has increased the significance of analyzing how people use health-related social media. OBJECTIVE The aim of this study was to cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a94d32ec179878dea63a91684b68875
https://doi.org/10.2196/preprints.14952
https://doi.org/10.2196/preprints.14952
Publikováno v:
ICSC
Customer reviews have become an essential resource when people search for goods or services on the Internet. Previous work has shown that reducing a product's uncertainty is critical to its purchase decision. Thus, reviews are more effective when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::055fc2bd932469f85a41ed9100a737a1
https://doi.org/10.1109/icosc.2019.8665616
https://doi.org/10.1109/icosc.2019.8665616
BACKGROUND An increasing number of doctor reviews are being generated by patients on the internet. These reviews address a diverse set of topics (features), including wait time, office staff, doctor’s skills, and bedside manners. Most previous work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fb03c5a195bc3c80f4d6f7f28a205b2
https://doi.org/10.2196/preprints.11141
https://doi.org/10.2196/preprints.11141