Twitter sentiment classification for measuring public health concerns
Datos Bibliográficos
| ID | 4615676 |
|---|---|
| Autores | Xiang Ji (0000-0002-7234-6460, New Jersey Institute of Technology, autor de correspondencia), Soon Ae Chun (College of Staten Island), Zhi Wei (0009-0005-1879-2020, New Jersey Institute of Technology), James Geller (0000-0002-9120-525X, New Jersey Institute of Technology) |
| Año | 2015 |
| Volumen | 5 |
| Número | 1 |
| Páginas | 13-13 |
| Fecha de publicación | 2015-12-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Social Network Analysis and Mining (JOURNAL) |
| Identificadores de la revista | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-015-0253-5 |
| PMID | 32226558 |
| OpenAlex | W854920577 |
| Idioma | EN |
| Citas recibidas | 18 |
| Referencias citadas | 39 |
Computer security · Data science · Disjoint sets · Heuristics · Information retrieval · Machine learning · Personally identifiable information · Public health · Timeline · Computer Science · Data-Driven Disease Surveillance · Medicine · Mental Health via Writing · Misinformation and Its Impacts · Artificial Intelligence
Creating Covid-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter
Social media analytics – Challenges in topic discovery, data collection, and data preparation
The Online Dissemination of Nature–Health Concepts
Social Media Multidimensional Analysis for Intelligent Health Surveillance
Analyzing Twitter Data to Evaluate People’s Attitudes towards Public Health Policies and Events in the Era of Covid-19
Anxiety and Panic Buying Behaviour during Covid-19 Pandemic—A Qualitative Analysis of Toilet Paper Hoarding Contents on Twitter
A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time
Integration of Neural Architecture Search With Fuzzy Deep Neural Network Model for Emotion AI in Public Health Emergencies
The early weeks of the Italian Covid-19 outbreak
A longitudinal study of the evolution of opinions about open access and its main features
Tweeting during the Pandemic in New York City
Sentiment prediction model in social media data using beluga dodger optimization-based ensemble classifier
Mining social media data to inform public health policies
Influence of Twitter activity on the stock price of soccer clubs
Identification of affective valence of Twitter generated sentiments during the Covid-19 outbreak
Conceptualizing the use of the term financial risk by non-academics and academics using twitter messages and ScienceDirect paper abstracts
Global evidence of expressed sentiment alterations during the Covid-19 pandemic
What's on the agenda? Examining public health communication about opioids
Detecting influenza epidemics using search engine query data
The link‐prediction problem for social networks
The Weka data mining software
Libsvm
Recognizing contextual polarity in phrase-level sentiment analysis
Thumbs up?
Pandemics in the Age of Twitter
The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic
Opinion Mining and Sentiment Analysis
Arousal Increases Social Transmission of Information
The Measurement of Observer Agreement for Categorical Data
Changes in Emotion of the Chinese Public in Regard to the Sars Period
From Tweets to Polls
Measuring nominal scale agreement among many raters
| Obras citantes distintas | 18 |
|---|---|
| Citas por año | 1,8 |
| Intervalo de citas | 2016 - 2026 (11) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 18 |