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Publikováno v:
Journal of Medical Internet Research, Vol 25, p e44870 (2023)
BackgroundMedication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication compl
Externí odkaz:
https://doaj.org/article/c9eb6d7db34249819db5881d979ea1b3
BACKGROUND Medication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::793158f75233db1c4cc898f7a0014180
https://doi.org/10.2196/preprints.44870
https://doi.org/10.2196/preprints.44870
Autor:
Dipankar Das, Sivaji Bandyopadhyay
Publikováno v:
Lecture Notes in Social Networks ISBN: 9783709113394
The rapidly growing online activities in the Web motivate us to analyze the reactions of different emotional catalysts on various social networking substrates. Thus, in the present chapter, different concepts, motivations, approaches and applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::336b073172c4627848d95af01d484755
https://doi.org/10.1007/978-3-7091-1340-0_2
https://doi.org/10.1007/978-3-7091-1340-0_2
Autor:
Mason, Matt, Rowe, Francisco
There is a growing academic literature examining anti-immigration sentiment posted onto social media platforms, with evidence emerging of its impact on rises in “real physical” incidents of hate. Despite this, little is understood about the spati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170fd18cc20a85ce6a85e709420c5765
Autor:
Das, Dipankar, Bandyopadhyay, Sivaji
Publikováno v:
Online Collective Action; 2014, p19-37, 19p
Background: Social media discussions around medication use by clinicians and patients have created a public record that can provide new, timely insights into various unique and existing topics, including adverse events. Unstructured patient discussio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66b23a648c45b9a2806636b2a460ee98
Publikováno v:
Volume: 27, Issue: 3 1780-1793
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
This paper presents a hybrid methodology for Turkish sentiment analysis, which combines the lexicon-based and machine learning (ML)-based approaches. On the lexicon-based side, we use a sentiment dictionary that is extended with a synonyms lexicon. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::259abe7b204ec886df9cc223512882ff
https://doi.org/10.3906/elk-1808-189
https://doi.org/10.3906/elk-1808-189
Autor:
Ajmeera, Narahari, Kamakshi, P.
Publikováno v:
Signal, Image & Video Processing; Jun2024, Vol. 18 Issue 4, p3483-3494, 12p
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0debb777631164c8e38f9ed641e48892
http://hdl.handle.net/2318/1652672
http://hdl.handle.net/2318/1652672