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Keyword Connections
tweets
Journals
2
1
Journal of medical Internet research
2
BMJ (Clinical research ed.)
Research Groups
0
No Research Group Connected
Bibliographies
28
1
Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.
2
When I use a word . . . Medical slang: gomers and gomerettes.
3
English verb regularization in books and tweets.
4
A "fitness" Theme May Mitigate Regional Prevalence of Overweight and Obesity: Evidence from Google Search and Tweets.
5
Creative identity (re)Construction, creative community building, and creative resistance: A qualitative analysis of queer ingroup members' tweets after the Orlando Shooting
6
Sentiment Analysis of Tweets Including Emoji Data
7
Sentiment Analysis on Tweets for Trains Using Machine Learning
8
Topic modeling and sentiment analysis of global climate change tweets
9
Stylistic variation on the Donald Trump Twitter account: A linguistic analysis of tweets posted between 2009 and 2018.
10
Determination and summarization of important tweets after natural disasters
11
An Improved Approach for Sarcasm Detection Avoiding Null Tweets
12
Sarcasm Detection For Sentiment Analysis in Indonesian Tweets
13
Sarcastic sentiment detection in tweets streamed in real time: a big data approach
14
JUUL on Twitter: Analyzing Tweets About Use of a New Nicotine Delivery System.
15
Sentiment analysis of tweets using refined neutrosophic sets
16
An Approach for Sentiment Analysis of GST Tweets Using Words Popularity Versus Polarity Generation
17
Sentiment analysis of tweets using supervised learning algorithms
18
Self-presentation and Discreditation – the Key Strategies of the Preelection Political Discourse (as Exemplified in the Pre-election Tweets of D. Trump and H. Clinton)
19
Language manifestation of the discrediting communicative strategy as a way of political image formation in the virtual space (as exemplified in pre-election tweets by D. Trump)
20
Cancer, aging and Twitter: A mixed methods evaluation of tweets about Geriatric Oncology (#gerionc) and Geriatric Hematology (#geriheme).
21
Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations.
22
Using Social Media to Determine the Affective and Cognitive Components of Tweets about Sunburn.
23
Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets
24
healthy tweets: use and importance of twitter for health prevention
25
Tweets Responding to the Indonesian Government’s Handling of COVID-19: Sentiment Analysis Using SVM with Normalized Poly Kernel
26
Patient Participation at Health Care Conferences: Engaged Patients Increase Information Flow, Expand Propagation, and Deepen Engagement in the Conversation of Tweets Compared to Physicians or Researchers
27
Health activism, vaccine, and mpox discourse: BERTopic based mixed-method analyses of tweets from sexual minority men and gender diverse (SMMGD) individuals in the U.S.
28
Deep Learning-based Sentiment Analysis of Olympics Tweets
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