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Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-00958-7_84openalex-snapshot

Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation

inferredcites →https://doi.org/10.1007/978-3-642-33290-6_35openalex-snapshot

Evaluating the Use of Clustering for Automatically Organising Digital Library Collections

inferredcites →https://doi.org/10.1017/s1351324901002728openalex-snapshot

Applied morphological processing of English

inferredcites →https://doi.org/10.1109/icdm.2007.86openalex-snapshot

Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval

inferredcites →https://doi.org/10.1145/1141753.1141765openalex-snapshot

Bibliometric impact measures leveraging topic analysis

inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot

Training linear SVMs in linear time

inferredcites →https://doi.org/10.1145/2483969.2483972openalex-snapshot

On collocations and topic models

inferredcites →https://doi.org/10.1145/3130348.3130370openalex-snapshot

Probabilistic Latent Semantic Indexing

inferredcites →https://doi.org/10.1609/aaai.v24i1.7669openalex-snapshot

A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics

inferredcites →https://doi.org/10.3115/1613715.1613763openalex-snapshot

Studying the history of ideas using topic models

inferredcites →https://doi.org/10.3115/1620754.1620807openalex-snapshot

Exploring content models for multi-document summarization

inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot

Latent dirichlet allocation

inferredcites →https://doi.org/10.5591/978-1-57735-516-8/ijcai11-312openalex-snapshot

Improving Topic Evaluation Using Conceptual Knowledge.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.2139/ssrn.3304756openalex-extracted

Guided Diverse Concept Miner (GDCM): Uncovering Relevant Constructs for Managerial Insights From Text

inferred← citeshttps://doi.org/10.2139/ssrn.4112971openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4128068openalex-extracted

Unsupervised Generation of Tradable Topic Indices Through Textual Analysis

inferred← citeshttps://doi.org/10.2139/ssrn.4265171openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4592178openalex-extracted

inferred← citeshttps://doi.org/10.2139/ssrn.4725374openalex-extracted

Graph Contrastive Topic Model

inferred← citeshttps://doi.org/10.2139/ssrn.4994935openalex-extracted

Unveiling Themes in 10-K Disclosures: A New Topic Modeling Perspective

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inferred← citeshttps://doi.org/10.1002/bsd2.70374openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/cpe.7847openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/jrsm.1311openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/sam.11415openalex-snapshot

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inferred← citeshttps://doi.org/10.1002/widm.1540openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-05755-8_32openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-15712-8_38openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-030-86523-8_3openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-40467-2_6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-031-50609-3_7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-08977-9_29openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-11733-5_1openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-24810-7_22openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-56608-5_6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-64206-2_24openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-75420-8_13openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-319-89656-4_33openalex-snapshot

A Sentence-Level Sparse Gamma Topic Model for Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-3-319-91947-8_38openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-658-21980-2_3openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-662-44845-8_19openalex-snapshot

Scalable Moment-Based Inference for Latent Dirichlet Allocation

inferred← citeshttps://doi.org/10.1007/978-981-15-1420-3_89openalex-snapshot

Improving Topic Coherence Using Parsimonious Language Model and Latent Semantic Indexing

inferred← citeshttps://doi.org/10.1007/978-981-19-8746-5_2openalex-snapshot

A Temperature-Modified Dynamic Embedded Topic Model

inferred← citeshttps://doi.org/10.1007/978-981-96-0119-6_19openalex-snapshot

Mongolian-Chinese Cross-Lingual Topic Detection Based on Knowledge Distillation and Contrastive Learning Methods

inferred← citeshttps://doi.org/10.1007/978-981-96-4606-7_8openalex-snapshot

Self-explaining Neural Network for Multi-criteria Sentiment Analysis

inferred← citeshttps://doi.org/10.1007/978-981-96-8853-1_2openalex-snapshot

Classical Topic Models

inferred← citeshttps://doi.org/10.1007/978-981-96-8853-1_3openalex-snapshot

Modern Topic Models

inferred← citeshttps://doi.org/10.1007/978-981-97-2421-5_11openalex-snapshot

Lifelong Hierarchical Topic Modeling via Non-negative Matrix Factorization

inferred← citeshttps://doi.org/10.1007/978-981-99-7022-3_32openalex-snapshot

Generalized Knowledge Distillation for Topic Models

inferred← citeshttps://doi.org/10.1007/s00180-022-01246-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-025-11277-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-026-12385-5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s00521-026-12402-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-017-1099-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-018-1213-yopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-021-01555-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-022-01805-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-023-02005-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-025-02367-9openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10115-025-02605-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10462-023-10661-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10462-024-11011-xopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10489-019-01438-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10489-021-03100-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10639-024-12764-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10649-022-10202-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10707-026-00584-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10844-024-00891-8openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10994-024-06727-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s10994-026-07037-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11042-026-21243-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11135-022-01548-wopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11192-022-04312-xopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11192-026-05745-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11205-023-03147-0openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11280-021-00963-7openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s13042-024-02203-6openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s13278-022-00917-5openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s40820-025-01807-zopenalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s41019-023-00239-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s41060-025-00810-2openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s41870-022-01123-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.array.2026.100777openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.artmed.2019.101783openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.cmpb.2015.10.014openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.compind.2022.103769openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.cstp.2024.101154openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.datak.2021.101921openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.dsm.2025.11.001openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.dss.2019.113074openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.dss.2021.113582openalex-snapshot

Job satisfaction and employee turnover determinants in Fortune 50 companies: Insights from employee reviews from Indeed.com

inferred← citeshttps://doi.org/10.1016/j.engappai.2024.108877openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111508openalex-snapshot

Topic models for decision-support systems, Part II: Expert-in-the-loop hierarchical topic models

inferred← citeshttps://doi.org/10.1016/j.eswa.2015.02.055openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2018.06.021openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2018.07.063openalex-snapshot

Document-based topic coherence measures for news media text

inferred← citeshttps://doi.org/10.1016/j.eswa.2019.06.024openalex-snapshot

Topic discovery in massive text corpora based on Min-Hashing

inferred← citeshttps://doi.org/10.1016/j.eswa.2020.113401openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.eswa.2021.116086openalex-snapshot

An evolutionary event detection model using the Matrix Decomposition Oriented Dirichlet Process

inferred← citeshttps://doi.org/10.1016/j.eswa.2024.124631openalex-snapshot

Graph Contrastive Topic Model

inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127517openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e36808openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ijhcs.2017.03.007openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.ijpe.2025.109610openalex-snapshot

Sustainable development of PV projects based on a text-analytic decision-making framework

inferred← citeshttps://doi.org/10.1016/j.imavis.2016.03.005openalex-snapshot

A discriminative and sparse topic model for image classification and annotation

inferred← citeshttps://doi.org/10.1016/j.infsof.2018.02.005openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.infsof.2019.06.011openalex-snapshot

Log mining to re-construct system behavior: An exploratory study on a large telescope system

inferred← citeshttps://doi.org/10.1016/j.ins.2022.05.098openalex-snapshot

Context reinforced neural topic modeling over short texts

inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102864openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.irfa.2025.104121openalex-snapshot

Unveiling themes in 10-K disclosures: A new topic modeling perspective

inferred← citeshttps://doi.org/10.1016/j.jbi.2015.10.001openalex-snapshot

Learning probabilistic phenotypes from heterogeneous EHR data

inferred← citeshttps://doi.org/10.1016/j.jdmm.2021.100615openalex-snapshot

Likes on image posts in social networking services: Impact of travel episode

inferred← citeshttps://doi.org/10.1016/j.jfds.2025.100149openalex-snapshot

Unsupervised generation of tradable topic indices through textual analysis

inferred← citeshttps://doi.org/10.1016/j.knosys.2017.04.006openalex-snapshot

Forum latent Dirichlet allocation for user interest discovery

inferred← citeshttps://doi.org/10.1016/j.neucom.2018.05.023openalex-snapshot

Soft orthogonal non-negative matrix factorization with sparse representation: Static and dynamic

inferred← citeshttps://doi.org/10.1016/j.neucom.2019.12.128openalex-snapshot

Nonparametric Topic Modeling with Neural Inference

inferred← citeshttps://doi.org/10.1016/j.neucom.2021.10.047openalex-snapshot

A graph convolutional topic model for short and noisy text streams

inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128757openalex-snapshot

Out-of-vocabulary handling and topic quality control strategies in streaming topic models

inferred← citeshttps://doi.org/10.1016/j.patcog.2020.107514openalex-snapshot

Dirichlet Variational Autoencoder

inferred← citeshttps://doi.org/10.1016/j.patrec.2019.01.018openalex-snapshot

Topic representation: Finding more representative words in topic models

inferred← citeshttps://doi.org/10.1016/j.procs.2018.08.262openalex-snapshot

Developing an approach for lifestyle identification based on explicit and implicit features from social media

inferred← citeshttps://doi.org/10.1016/j.ssci.2019.03.014openalex-snapshot

Temporal topic modeling applied to aviation safety reports: A subject matter expert review

inferred← citeshttps://doi.org/10.1017/9781108939010.035openalex-snapshot

Applications

inferred← citeshttps://doi.org/10.1017/9781108939010.038openalex-snapshot

Social Media Analytics

inferred← citeshttps://doi.org/10.1017/cbo9781316257340.004openalex-snapshot

Navigating the Local Modes of Big Data: The Case of Topic Models

inferred← citeshttps://doi.org/10.1017/s0959774323000203openalex-snapshot

Using Topic Modelling to Reassess Heritage Values from a People-centred Perspective: Applications from the North of England

inferred← citeshttps://doi.org/10.1038/s41467-026-76825-5openalex-snapshot

scE2TM improves single-cell embedding interpretability and reveals cellular perturbation signatures

inferred← citeshttps://doi.org/10.1038/s41598-022-22956-wopenalex-snapshot

Modeling electronic health record data using an end-to-end knowledge-graph-informed topic model

inferred← citeshttps://doi.org/10.1038/s41598-024-52495-5openalex-snapshot

Disentangling boredom from depression using the phenomenology and content of involuntary autobiographical memories

inferred← citeshttps://doi.org/10.1038/s41746-024-01383-3openalex-snapshot

Human AI collaboration for unsupervised categorization of live surgical feedback

inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-16965openalex-snapshot

Utilizing Deep Learning for the Extraction of Cost Risk Factors from Project Risk Registers: Enhancing Contingency Estimation

inferred← citeshttps://doi.org/10.1063/1.4978979openalex-snapshot

Topic extraction method using RED-NMF algorithm for detecting outbreak of some disease on Twitter

inferred← citeshttps://doi.org/10.1063/5.0148733openalex-snapshot

Using neural topic model and CamemBERT to extract topics from Moroccan news in the French language

inferred← citeshttps://doi.org/10.1080/00128775.2024.2304212openalex-snapshot

Understanding Monetary Policy Communication in a Small and Open Economy Under an Exchange Rate Anchor: The Case of North Macedonia

inferred← citeshttps://doi.org/10.1080/01621459.2016.1141684openalex-snapshot

A Model of Text for Experimentation in the Social Sciences

inferred← citeshttps://doi.org/10.1080/07370024.2020.1734460openalex-snapshot

Topicalizer: reframing core concepts in machine learning visualization by co-designing for interpretivist scholarship

inferred← citeshttps://doi.org/10.1080/08839514.2019.1661576openalex-snapshot

Review and Implementation of Topic Modeling in Hindi

inferred← citeshttps://doi.org/10.1080/0960085x.2020.1814680openalex-snapshot

Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis

inferred← citeshttps://doi.org/10.1080/09658211.2022.2104317openalex-snapshot

Understanding autobiographical memory content using computational text analysis

inferred← citeshttps://doi.org/10.1080/10447318.2025.2485494openalex-snapshot

Designing Digital Health Innovation for Stigma-Affected Health Conditions: A Systems-Based View to Managing Chronic Pelvic Pain

inferred← citeshttps://doi.org/10.1080/10941665.2026.2639692openalex-snapshot

Do memorable tourism experiences remain stable over time? An analysis of online reviews using dynamic topic modeling

inferred← citeshttps://doi.org/10.1080/12460125.2024.2348932openalex-snapshot

A market driven identification of current and emerging skills requiring an MBA degree: a topic modelling approach

inferred← citeshttps://doi.org/10.1080/13527266.2026.2678420openalex-snapshot

A comprehensive bibliometric and topic modeling analysis of emoticons and emojis in consumer behavior research

inferred← citeshttps://doi.org/10.1080/14783363.2025.2478206openalex-snapshot

Online reviews analysis in product defects and customer requirements via two-stage model

inferred← citeshttps://doi.org/10.1080/19312458.2021.1965973openalex-snapshot

Building the Bridge: Topic Modeling for Comparative Research

inferred← citeshttps://doi.org/10.1080/19312458.2023.2182278openalex-snapshot

Leveraging Researcher Domain Expertise to Annotate Concepts Within Imbalanced Data

inferred← citeshttps://doi.org/10.1080/19312458.2024.2302120openalex-snapshot

What’s in a name? The effect of named entities on topic modelling interpretability

inferred← citeshttps://doi.org/10.1080/23311975.2026.2613596openalex-snapshot

AI in customer experience and digital marketing: a bibliometric and thematic review (2004–2025) with sensory marketing lens

inferred← citeshttps://doi.org/10.1080/24705357.2016.1251296openalex-snapshot

Two decades of ecohydraulics: trends of an emerging interdiscipline

inferred← citeshttps://doi.org/10.1080/2573234x.2019.1590131openalex-snapshot

Topic modeling for analyzing open-ended survey responses

inferred← citeshttps://doi.org/10.1088/2631-8695/ad299eopenalex-snapshot

Automatic label curation from large-scale text corpus

inferred← citeshttps://doi.org/10.1093/ej/ueae010openalex-snapshot

How Polarised are Citizens? Measuring Ideology from the Ground up

inferred← citeshttps://doi.org/10.1093/llc/fqab083openalex-snapshot

Exploring Spanish contemporary song lyrics through Digital Humanities methods: Some thematic and structural properties

inferred← citeshttps://doi.org/10.1093/oxfordhb/9780197653609.013.3openalex-snapshot

Munging the Ghosts in the Machine

inferred← citeshttps://doi.org/10.1101/2024.01.29.24301349openalex-snapshot

Using unsupervised topic modeling to uncover document hierarchy and latent topics in prostate cancer clinical texts

inferred← citeshttps://doi.org/10.1108/jmtm-03-2025-0249openalex-snapshot

Old problems in a new context – the Industry 4.0 readiness of automotive SMEs

inferred← citeshttps://doi.org/10.1108/oir-02-2019-0062openalex-snapshot

CID: Categorical Influencer Detection on microtext-based social media

inferred← citeshttps://doi.org/10.1109/access.2018.2869838openalex-snapshot

Constructing Dynamic Topic Models Based on Variational Autoencoder and Factor Graph

inferred← citeshttps://doi.org/10.1109/access.2020.2969525openalex-snapshot

Leveraging Global and Local Topic Popularities for LDA-Based Document Clustering

inferred← citeshttps://doi.org/10.1109/access.2020.2973207openalex-snapshot

Topic Modeling for Short Texts via Word Embedding and Document Correlation

inferred← citeshttps://doi.org/10.1109/access.2020.2983265openalex-snapshot

A Top-Down Binary Hierarchical Topic Model for Biomedical Literature

inferred← citeshttps://doi.org/10.1109/access.2020.3008534openalex-snapshot

MAP Estimation With Bernoulli Randomness, and Its Application to Text Analysis and Recommender Systems

inferred← citeshttps://doi.org/10.1109/access.2020.3046607openalex-snapshot

Topic-Document Inference With the Gumbel-Softmax Distribution

inferred← citeshttps://doi.org/10.1109/access.2021.3088410openalex-snapshot

Monitoring Cyber SentiHate Social Behavior During COVID-19 Pandemic in North America

inferred← citeshttps://doi.org/10.1109/access.2021.3109425openalex-snapshot

A Topic Coverage Approach to Evaluation of Topic Models

inferred← citeshttps://doi.org/10.1109/access.2023.3343501openalex-snapshot

Contextual Meaning-Based Approach to Fine-Grained Online Product Review Analysis for Product Design

inferred← citeshttps://doi.org/10.1109/access.2025.3540410openalex-snapshot

Automatic Seed Word Selection for Topic Modeling

inferred← citeshttps://doi.org/10.1109/asiancon51346.2021.9545070openalex-snapshot

SinTM - LDA and RAKE based Topic Modelling for Sinhala Language

inferred← citeshttps://doi.org/10.1109/bhi50953.2021.9508608openalex-snapshot

Neural Topic Modeling to Understand Breast Cancer Peer-to-peer Online Information Seeking at Diagnosis

inferred← citeshttps://doi.org/10.1109/bigdata.2016.7840981openalex-snapshot

Exploring archives with probabilistic models: Topic modelling for the valorisation of digitised archives of the European Commission

inferred← citeshttps://doi.org/10.1109/bigmm52142.2021.00009openalex-snapshot

GraphTMT: Unsupervised Graph-based Topic Modeling from Video Transcripts

inferred← citeshttps://doi.org/10.1109/cbd65573.2024.00033openalex-snapshot

Prior Knowledge Enhanced Topic Model For Research Topic Evolution Analysis

inferred← citeshttps://doi.org/10.1109/chase66643.2025.00024openalex-snapshot

Irresponsibility Killed the Cat: Software Accountability Concerns

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