Nature communications

Sensors (Basel, Switzerland)

Journal of medical Internet research

Journal of clinical nursing

the journal of school health

International journal of medical informatics

BMC cardiovascular disorders

scandinavian journal of work, environment & health

Environmental health : a global access science source

anatomical sciences education

JMIR formative research

dermatology (basel, switzerland)

jmir public health and surveillance

the psychiatric clinics of north america

healthcare (amsterdam, netherlands)

actas urologicas espanolas

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland

International journal of surgical pathology

BMJ (Clinical research ed.)

[1] Live videos shared on social media during urological conferences are increasing: Time to reflect on advantages and potential harms. An ESUT-YAU study.

[2] The impact of social media on citation rates in coloproctology.

[3] Long-term clinical outcomes of everolimus-eluting stent versus paclitaxel-eluting stent in patients undergoing percutaneous coronary interventions: a meta-analysis.

[4] Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.

[5] Social media and anatomy education: Using twitter to enhance the student learning experience in anatomy.

[6] Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis.

[7] Using web data to improve surveillance for heat sensitive health outcomes.

[8] Detecting and Monitoring Hate Speech in Twitter.

[9] JUUL on Twitter: Analyzing Tweets About Use of a New Nicotine Delivery System.

[10] Social Media and Drug Resistance in Nursing Training: Using a Twitterchat to develop an international community of practice for antimicrobial resistance.

[11] Using Social Media to Determine the Affective and Cognitive Components of Tweets about Sunburn.

[12] Use of social media to assess the impact of equitable state policies on LGBTQ patient experiences: An exploratory study.

[13] Studying Public Perception about Vaccination: A Sentiment Analysis of Tweets

[14] Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data.

[15] literatura en twitter. a propósito del <i>twitter fiction festival</i>

[16] becoming popular: interpersonal emotion regulation predicts relationship formation in real life social networks

[17] attitudes expressed in online comments about environmental factors in the tourism sector: an exploratory study

[18] revista latina de comunicación social, en la red social facebook

[19] fostering foreign language learning with twitter: what do english learners think about it?

[20] the reach of twitter as a political tool

[21] online survey data from twitter and archaeology surveys 2011-2013

[22] deteksi gempa berdasarkan data twitter menggunakan decision tree, random forest, dan svm

[23] twitter, journalism and affective labour

[24] İstanbul büyükşehir belediye başkanlığı seçimi’nde adayların twitter İçeriklerinin siyasal İletişim açısından İncelenmesi

[25] twitter as an information source of unexpected events: following hashtags in the case #ardevalencia

[26] psychological analysis of jokowi’s first 100 days and nawacita from text in twitter

[27] el enjambre digital en la política argentina. twitter en las campañas 2011-2013-2015

[28] What’s not in the news headlines or titles of Alzheimer disease articles? #InMice

[29] Interdisciplinary Approach to Identify and Characterize COVID-19 Misinformation on Twitter: Mixed Methods Study.

[30] Online Educational Resources for Bone and Soft Tissue Pathology (BSTpath) and Tips for Ethical Engagement on Social Media.

[31] Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses.

[32] When I use a word . . . Medical slang: gomers and gomerettes.

[33] IMPLEMENTASI FRAMEWORK TWITTER BOOTSTRAP DALAM PERANCANGAN APLIKASI PENERIMAAN MAHASISWA BARU BERBASIS WEB

[34] Analisis Komunikasi Sosial Media Twitter sebagai Saluran Layanan Pelanggan Provider Internet dan Seluler di Indonesia

[35] A Content Analysis of Gambling Operators' Twitter Accounts at the Start of the English Premier League Football Season.

[36] Psychology and morality of political extremists: evidence from Twitter language analysis of alt-right and Antifa

[37] Review of topics related to autism spectrum disorder on Twitter

[38] Twitter-based measures of neighborhood sentiment as predictors of residential population health.

[39] Critical states in Political Trends. How much reliable is a poll on Twitter?: The Potts model and the inverse problem in Social Science

[40] Social Media Competition for User Satisfaction: A Niche Analysis of Facebook, Instagram, YouTube, Pinterest, and Twitter

[41] Lexicon-based Twitter sentiment analysis for vote share prediction using emoji and N-gram features

[42] Twitter sentiment analysis via bi-sense emoji embedding and attention-based LSTM

[43] Exploratory Analysis of Marketing and Non-marketing E-cigarette Themes on Twitter.

[44] Hashtag homophily in twitter network: Examining a controversial cause-related marketing campaign

[45] Classifying adverse drug reactions from imbalanced twitter data.

[46] An IP Multimedia Subsystem Service Discovery and Exposure Approach Based on Opinion Mining by Exploiting Twitter Trending Topics

[47] The effect of twitter dissemination on cost of equity: A big data approach

[48] Reconstruction of the socio-semantic dynamics of political activist Twitter networks-Method and application to the 2017 French presidential election.

[49] Qualitative and quantitative evaluation of the use of Twitter as a tool of antimicrobial stewardship.

[50] Twitter As a Noninvasive Bio-Marker for Trends in Liver Disease.

[51] Hashtags and heroes: perceptions of nursing on Twitter following a high profile nurse arrest.

[52] Mapping the Dutch vaccination debate on Twitter: Identifying communities, narratives, and interactions.

[53] Stroke Survivors on Twitter: Sentiment and Topic Analysis From a Gender Perspective.

[54] Understanding Perceptions and Attitudes in Breast Cancer Discussions on Twitter.

[55] Estimating the Health-Related Quality of Life of Twitter Users Using Semantic Processing.

[56] Interdisciplinary optimism? Sentiment analysis of Twitter data.

[57] Using Twitter to Understand the Human Bowel Disease Community: Exploratory Analysis of Key Topics.

[58] Character level embedding with deep convolutional neural network for text normalization of unstructured data for Twitter sentiment analysis

[59] Using Twitter to Better Understand the Spatiotemporal Patterns of Public Sentiment: A Case Study in Massachusetts, USA

[60] Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data

[61] Social media and anatomy education: Using twitter to enhance the student learning experience in anatomy.

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

[63] How people with dementia use twitter: A qualitative analysis

[64] Automatic identification of eyewitness messages on twitter during disasters

[65] Measuring the impact of spammers on e-mail and Twitter networks

[66] Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis.

[67] Use of Twitter by National Tourism Organizations of European Countries

[68] Detecting and Monitoring Hate Speech in Twitter.

[69] Electronic Cigarette Themes on Twitter: Dissemination Patterns and Relations with Online News and Search Engine Queries in South Korea

[70] The Top 100 Social Media Influencers in Plastic Surgery on Twitter: Who Should You Be Following?

[71] Decision support for digital marketing through virtual organizations - influencers on twitter

[72] Influencer identification in Twitter networks of destination marketing organizations

[73] Sarcasm detection on twitter: User behavior approach

[74] Sarcasm detection in twitter using sentiment analysis

[75] Irony and sarcasm detection in Twitter: The role of affective content

[76] Dialogic communication on social media: How organizations use Twitter to build dialogic relationships with their publics

[77] Discussions of miscarriage and preterm births on Twitter.

[78] Bi-lingual Intent Classification of Twitter Posts: A Roadmap

[79] JUUL on Twitter: Analyzing Tweets About Use of a New Nicotine Delivery System.

[80] Public Sense of Water Fluoridation as Reflected on Twitter 2009-2017.

[81] Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

[82] Systematic literature review of sentiment analysis on Twitter using soft computing techniques

[83] Twitterbert: Framework for twitter sentiment analysis based on pre-trained language model representations

[84] Twitter sentiment analysis using hybrid Spider Monkey optimization method

[85] Social Media and Drug Resistance in Nursing Training: Using a Twitterchat to develop an international community of practice for antimicrobial resistance.

[86] #4645Boricuas: Twitter reactions to the estimates of deaths by Hurricane María in Puerto Rico.

[87] Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media

[88] Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia

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

[90] Adverse Events in Twitter-Development of a Benchmark Reference Dataset: Results from IMI WEB-RADR.

[91] What kind of teacher values the current society? Social vision of the figure's teacher through twitter

[92] Opioids on Twitter: A Content Analysis of Conversations regarding Prescription Drugs on Social Media and Implications for Message Design.

[93] Global cities, creative industries and their representation on social media: A micro-data analysis of Twitter data on the fashion industry

[94] Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: An Infoveillance Study on Twitter and Instagram.

[95] Solving the twitter sentiment analysis problem based on a machine learning-based approach

[96] Sentiment analysis of Indonesian presisential election 2019 on the twitter with lexicon-based and support vector machine (SVM)

[97] Application of support vector machine (SVM) in the sentiment analysis of twitter dataset

[98] Insights From Twitter Conversations on Lupus and Reproductive Health: Protocol for a Content Analysis

[99] Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data.

[100] Detection of Human Trafficking Ads in Twitter Using Natural Language Processing and Image Processing

[101] Detecting Cyber Threat Event from Twitter Using IDCNN and BiLSTM