Keyword Connections

tweet

Journals

2

1 Journal of medical Internet research

2 BMJ (Clinical research ed.)

Research Groups

0

No Research Group Connected

Bibliographies

37

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 UK: Be Careful What You Tweet

4 English verb regularization in books and tweets.

5 A "fitness" Theme May Mitigate Regional Prevalence of Overweight and Obesity: Evidence from Google Search and Tweets.

6 Creative identity (re)Construction, creative community building, and creative resistance: A qualitative analysis of queer ingroup members' tweets after the Orlando Shooting

7 Sentiment Analysis of Tweets Including Emoji Data

8 What does your tweet emotion mean? Neural emoji prediction for sentiment analysis

9 Actionable Pattern Discovery for Tweet Emotions

10 Engagement in HIV Care Among New York City Transgender Women of Color: Findings from the Peer-Led, TWEET Intervention, a SPNS Trans Women of Color Initiative.

11 Sentiment Analysis on Tweets for Trains Using Machine Learning

12 Topic modeling and sentiment analysis of global climate change tweets

13 Stylistic variation on the Donald Trump Twitter account: A linguistic analysis of tweets posted between 2009 and 2018.

14 Determination and summarization of important tweets after natural disasters

15 Prescribing and Research in Medicines Management (UK & Ireland) Annual Conference 2018, NCVO, Society Building, London, UK, 14th December 2018: 'Person-centred Care in the Digital Age: Nudge, Nudge, Tweet, Tweet'

16 An Improved Approach for Sarcasm Detection Avoiding Null Tweets

17 Sarcasm Detection For Sentiment Analysis in Indonesian Tweets

18 Sarcastic sentiment detection in tweets streamed in real time: a big data approach

19 JUUL on Twitter: Analyzing Tweets About Use of a New Nicotine Delivery System.

20 Sentiment analysis of tweets using refined neutrosophic sets

21 An Approach for Sentiment Analysis of GST Tweets Using Words Popularity Versus Polarity Generation

22 Sentiment analysis of tweets using supervised learning algorithms

23 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)

24 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)

25 Cancer, aging and Twitter: A mixed methods evaluation of tweets about Geriatric Oncology (#gerionc) and Geriatric Hematology (#geriheme).

26 Prediction of Personal Experience Tweets of Medication Use via Contextual Word Representations.

27 Using Social Media to Determine the Affective and Cognitive Components of Tweets about Sunburn.

28 Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets

29 healthy tweets: use and importance of twitter for health prevention

30 klasifikasi topik keluhan pelanggan berdasarkan tweet dengan menggunakan penggabungan feature hasil ekstraksi pada metode support vector machine (svm)

31 weaveux tweetposium: may 2, 2014

32 die tweeterreineleer van natuur en bonatuur

33 Tweets Responding to the Indonesian Government’s Handling of COVID-19: Sentiment Analysis Using SVM with Normalized Poly Kernel

34 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

35 Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis

36 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.

37 Deep Learning-based Sentiment Analysis of Olympics Tweets