Vader
A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
Bibliographic Data
| ID | 23328784 |
|---|---|
| Authors | Cecelia Hutto (Georgia Institute of Technology), Eric Gilbert (0000-0002-3047-7059, Georgia Institute of Technology) |
| Year | 2014 |
| Volume | 8 |
| Issue | 1 |
| Pages | 216-225 |
| Publication date | 2014-05-16 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Proceedings of the International AAAI Conference on Web and Social Media (JOURNAL) |
| Journal identifiers | ISSN: 2162-3449 • E-ISSN: 2334-0770 |
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) (PUBLISHER) |
| DOI | 10.1609/icwsm.v8i1.14550 |
| OpenAlex | W2099813784 |
| Language | EN |
| Citations received | 495 |
| References cited | 2 |
The inherent nature of social media content poses serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-practice benchmarks including LIWC, ANEW, the General Inquirer, SentiWordNet, and machine learning oriented techniques relying on Naive Bayes, Maximum Entropy, and Support Vector Machine (SVM) algorithms. Using a combination of qualitative and quantitative methods, we first construct and empirically validate a gold-standard list of lexical features (along with their associated sentiment intensity measures) which are specifically attuned to sentiment in microblog-like contexts. We then combine these lexical features with consideration for five general rules that embody grammatical and syntactical conventions for expressing and emphasizing sentiment intensity. Interestingly, using our parsimonious rule-based model to assess the sentiment of tweets, we find that VADER outperforms individual human raters (F1 Classification Accuracy = 0.96 and 0.84, respectively), and generalizes more favorably across contexts than any of our benchmarks.
Construct (python library) · Machine learning · Microblogging · Naive Bayes classifier · Natural language processing · Principle of maximum entropy · Sentiment analysis · Social media · Support vector machine · Artificial Intelligence · Computer Science · Sentiment Analysis and Opinion Mining · Spam and Phishing Detection · Topic Modeling
Bridging the silos in affective AI
ChatGPT as an ecosystem shock
Methodological and Theoretical Integration
Characterizing climate change sentiments in Alaska on social media
Detecting signs of depression on social media
Towards establishing a research lineage via identification of significant citations
Indonesian Twitter User Sentiment towards PeduliLindungi App in Strengthening Smart Living during Covid-19
Designing a smart city sustainability assessment information system based on the adapted SulpiTER methodology
Illustration of attention mechanism in LSTM algorithm for analyzing its performance
Social Network, Activity Space, Sentiment, and Evacuation
Mining Twitter Data for Improved Understanding of Disaster Resilience
Isabela – A Socially-Aware Human-in-the-Loop Advisor System
Does my Social Media Burn? – Identify Features for the Early Detection of Company-related Online Firestorms on Twitter
Negativity spreads faster
Exploring User Engagement with Portuguese Political Party Pages on Facebook
Exploring the political pulse of a country using data science tools
Examining the Communication Shared on X-Platform by Member Companies of a Social Impact Forética Cluster
Exploring discussions of health and risk and public sentiment in Massachusetts during Covid-19 pandemic mandate implementation
Identifying and Analyzing Cryptocurrency Manipulations in Social Media
BullyNet
A Scalable Platform to Collect, Store, Visualize, and Analyze Big Data in Real Time
A Survey of Sentiment Analysis from Social Media Data
Exploring Public Sentiment During Covid-19
Content-Aware Galaxies
Movie Recommendation System Using Sentiment Analysis From Microblogging Data
Understanding the User Behavior of Foursquare
Mapping obesity and diabetes’ representation on Twitter
Trust and Engagement on Twitter During the Management of Covid-19 Pandemic
Beyond big data
Leveraging social media data to study the community resilience of New York City to 2019 power outage
Public demand urgency for equitable infrastructure restoration planning
A New Approach to Map and Quantify Representative Claims and Measure Their Validation
Automated Hate Speech Detection and the Problem of Offensive Language
Why Making Matters Online
Covid-19 Vaccine Hesitancy
El lenguaje emocional del independentismo en Cataluña
Predictors of Evacuation Rates during Hurricane Laura
What Do Twitter Users Think about Climate Change? Characterization of Twitter Interactions Considering Geographical, Gender, and Account Typologies Perspectives
A Social Media Analysis of the Gendered Representations of Female and Male Athletes During the 2018 Commonwealth Games
Expression and Reception
Les laboratoires des entreprises vidéoludiques installées au Québec et les partenariats avec l’université
The Effect of Economic Ties on Digital Diplomacy
The impact of political party/candidate on the election results from a sentiment analysis perspective using #AnambraDecides2017 tweets
Exploring the Emotional Landscape of the Montenegro Presidential Election
Geospatial mapping of public sentiment and infodemic on human papillomavirus vaccination in India
The Linguistic Landscape of “Controversial”
Measurement of schizophrenia symptoms through speech analysis from PANSS interview recordings
The Perception of Health Professionals in Bangladesh toward the Digitalization of the Health Sector
Global and Local Trends Affecting the Experience of US and UK Healthcare Professionals during Covid-19
Detecting Sentiment toward Emerging Infectious Diseases on Social Media
Public Perceptions of Flavored Waterpipe Smoking on Twitter
Sentiments Towards Heritage Languages and Their Speakers
A Window to What We Missed
Evaluation of Student Feedback Within a Mooc Using Sentiment Analysis and Target Groups
Sentiment Analysis on Halal Certification
Using socially-sensed data to infer ZIP level characteristics for the spatiotemporal analysis of drug-related health problems in Maryland
Making text count
Beyond a Negativity Bias
YouTube marketing
Using Big Data and Algorithms to Determine the Effect of Geographically Targeted Advertising on Vote Intention
Placebo Selection in Survey Experiments
Substance use and sentiment and topical tendencies
Racism toward the Roma through the affordances of Facebook
Potential Pitfalls With Automatic Sentiment Analysis
Using learning analytics to understand student perceptions of peer feedback
Avatars at risk
Voting intentions on social media and political opinion polls
Who owns AI-generated artwork? Revisiting the work of generative AI based on human-AI co-creation
Patient-made knowledge networks
Quantifying the relationship between public sentiment and urban environment in Barcelona
A framework to simplify pre-processing location-based social media big data for sustainable urban planning and management
Automating the Detection of Linguistic Intergroup Bias Through Computerized Language Analysis
Satisfaction and sustainability concerns in whale-watching tourism
Do managerial responses influence traveller retention
Testing loss aversion and diminishing sensitivity in review sentiment
A cross-cultural anatomy of destination image
Breaking the silence
From conflicts and confusion to doubts
Deep learning-based social media mining for user experience analysis
Unraveling the relationship between the dimensions of user experience and user satisfaction
Unveiling user challenges in immersive technologies
Sentiment analysis on social networks for defining innovation problems in organizations
Predicting the future success of scientific publications through social network and semantic analysis
Automated Text Analysis for Consumer Research
An emoji feature-incorporated multi-view deep learning for explainable sentiment classification of social media reviews
Decoding the language of first impressions
Die Emotionalisierung des Politischen
Measuring Social Norms about Female Labor Force Participation in Jordan
Digital Emotion Contagion
The extended Moral Foundations Dictionary (eMFD)
Human heuristics for AI-generated language are flawed
Can sentiment analysis help to assess accuracy in interpreting? A corpus-assisted computational linguistic approach
Exploring Public Responses to Government’s Covid-19 Pandemic Policies
Urban-regional disparities in mental health signals in Australia during the Covid-19 pandemic
Climate Change in the UN Security Council
A corpus-assisted multimodal discourse analysis of glucagon-like peptide-1 receptor agonist narratives on TikTok
A sentiment analysis on online psychiatrist reviews to identify clinical attributes of psychiatrists that shape the therapeutic alliance
Revealing Public Opinion towards the Covid-19 Vaccine with Weibo Data in China
Characterising ‘Spree Bar’
Understanding Covid-19 Halal Vaccination Discourse on Facebook and Twitter Using Aspect-Based Sentiment Analysis and Text Emotion Analysis
| Unique citing works | 495 |
|---|---|
| Citations per year | 21,52 |
| Citation span | 2003 - 2026 (24) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 409 |