Citation Impact
Citing Papers
Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models
2015
A Neural Autoregressive Topic Model
2012
Optimizing Semantic Coherence in Topic Models
2011
Stochastic variational inference
2013
The Doubly Correlated Nonparametric Topic Model
2011
A Roadmap for a Rigorous Science of Interpretability.
2017
A framework for incorporating general domain knowledge into latent Dirichlet allocation using first-order logic
2011
Annealing paths for the evaluation of topic models
2014
Topic Modeling on Historical Newspapers
2011
Memoized Online Variational Inference for Dirichlet Process Mixture Models
2013
Bayesian Checking for Topic Models
2011
Factorial LDA: Sparse Multi-Dimensional Text Models
2012
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
2014
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
2013
Aspect Extraction through Semi-Supervised Modeling
2012
Business Intelligence and Analytics: From Big Data to Big Impact
2012 Standout
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
2016 Standout
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach
2013 Standout
Construction accident narrative classification: An evaluation of text mining techniques
2017 Standout
Mining Twitter to Assess the Public Perception of the “Internet of Things”
2016
Salmon provides fast and bias-aware quantification of transcript expression
2017 Standout
Topics in the Journal of Counseling Psychology, 1963–2015.
2017
Machine learning: Trends, perspectives, and prospects
2015 StandoutScience
A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
2015 Standout
Hazard analysis: A deep learning and text mining framework for accident prevention
2020 Standout
Content and Context: Identifying the Impact of Qualitative Information on Consumer Choice
2011
COVID-19 and Green Housing: A Review of Relevant Literature
2021
Topic modeling of Chinese language beyond a bag-of-words
2016
Measuring author research relatedness: A comparison of word‐based, topic‐based, and author cocitation approaches
2012
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
2010
Sprite : Generalizing Topic Models with Structured Priors
2015
Identification and monitoring of possible disruptive technologies by patent-development paths and topic modeling
2015
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications
2018 Standout
The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation
2017 Standout
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Collective sense-making in times of crisis: Connecting terror management theory with Twitter user reactions to the Berlin terrorist attack
2019
Distributed Representations of Sentences and Documents
2014 Standout
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation
2013
Natural language processing for aviation safety reports: From classification to interactive analysis
2015
Improving Topic Models with Latent Feature Word Representations
2015
Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter
2018 Standout
Advances in Variational Inference
2018
The Exaggerated Life of Death Panels: The Limits of Framing Effects in the 2009-2012 Health Care Debate
2012
The cultural environment: measuring culture with big data
2014
Marks of Distinction
2015
Topic Modeling in Management Research: Rendering New Theory from Textual Data
2019 Standout
Text-mining the signals of climate change doubt
2015
Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach
2017 Standout
Bilevel Feature Extraction-Based Text Mining for Fault Diagnosis of Railway Systems
2016
The double‐edged sword of recombination in breakthrough innovation
2014
Firms' knowledge profiles: Mapping patent data with unsupervised learning
2016
Bibliometric Methods in Management and Organization
2014 Standout
Visualizing Topic Models
2021
The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors
2017
Big Data Analytics in Intelligent Transportation Systems: A Survey
2018 Standout
Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures
2014 Standout
Pandemic, War, and Global Energy Transitions
2022 Standout
Digital technologies in product-service systems: a literature review and a research agenda
2020
Improving and Evaluating Topic Models and Other Models of Text
2015
Software Framework for Topic Modelling with Large Corpora
2010 Standout
Locally discriminative topic modeling
2011
Bibliometric studies in tourism
2016 Standout
Computer-Assisted Text Analysis for Comparative Politics
2015 Standout
Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It
2018
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
2018 Standout
Text as Data
2019 Standout
Beyond prediction: Using big data for policy problems
2017 StandoutScience
Auto-Encoding Variational Bayes
2013 Standout
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
2013 Standout
Adapting computational text analysis to social science (and vice versa)
2015
The Internet of Things: Review and theoretical framework
2019 Standout
Computational Grounded Theory: A Methodological Framework
2017 Standout
stm: An R Package for Structural Topic Models
2019 Standout
Validating Estimates of Latent Traits from Textual Data Using Human Judgment as a Benchmark
2013
Utilizing big data analytics for information systems research: challenges, promises and guidelines
2016
TopicNets
2012
Consensus on consensus: a synthesis of consensus estimates on human-caused global warming
2016 Standout
Popular Research Topics in Marketing Journals, 1995–2014
2017
The Ever-Expanding 10-K: Why are 10-Ks Getting so Much Longer (and Does it Matter)?
2016
Digital twin paradigm: A systematic literature review
2021 Standout
BTM: Topic Modeling over Short Texts
2014
Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of U.S. government arts funding
2013 Standout
Computer-Assisted Reading and Discovery for Student Generated Text in Massive Open Online Courses
2014
Quantitative analysis of large amounts of journalistic texts using topic modelling
2015 Standout
Concise comparative summaries (CCS) of large text corpora with a human experiment
2014
Definitions, methods, and applications in interpretable machine learning
2019 Standout
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
2018 Standout
Incorporating Knowledge Graph Embeddings into Topic Modeling
2017
Probabilistic topic models
2012 Standout
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 Standout
Issues and Best Practices in Content Analysis
2015 Standout
Driving Regulation
2013
Interactive topic modeling
2013
Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis
2020 Standout
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
2018 Standout
Product aspect extraction supervised with online domain knowledge
2014
A Model of Text for Experimentation in the Social Sciences
2016 Standout
Word network topic model: a simple but general solution for short and imbalanced texts
2015
Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?
2017
Addressing cold-start in app recommendation
2013
TopicSketch: Real-Time Bursty Topic Detection from Twitter
2016
Topic model validation
2011
Computational Text Analysis for Social Science: Model Assumptions and Complexity
2011
Automated content analysis for construction safety: A natural language processing system to extract precursors and outcomes from unstructured injury reports
2015 Standout
Structural Topic Models for Open‐Ended Survey Responses
2014 Standout
Generalizing from a Few Examples
2020 Standout
Works of Sean Gerrish being referenced
Predicting Legislative Roll Calls from Text
2011
Reading Tea Leaves: How Humans Interpret Topic Models
2009
How They Vote: Issue-Adjusted Models of Legislative Behavior
2012
Scalable Inference of Overlapping Communities
2012
A Language-based Approach to Measuring Scholarly Impact
2010