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Modeling Topic Evolution in Social Media Short Texts

https://doi.org/10.1109/icbk.2017.39
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-20161-5_34openalex-snapshot
Comparing Twitter and Traditional Media Using Topic Models
inferredcites →https://doi.org/10.1109/icdm.2008.140openalex-snapshot
On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking
inferredcites →https://doi.org/10.1109/icdm.2011.144openalex-snapshot
The Joint Inference of Topic Diffusion and Evolution in Social Communities
inferredcites →https://doi.org/10.1109/icdm.2011.148openalex-snapshot
Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes
inferredcites →https://doi.org/10.1109/tkde.2014.2313872openalex-snapshot
BTM: Topic Modeling over Short Texts
inferredcites →https://doi.org/10.1137/1.9781611972788.20openalex-snapshot
Dynamic Non-Parametric Mixture Models and The Recurrent Chinese Restaurant Process: with Applications to Evolutionary Clustering
inferredcites →https://doi.org/10.1145/1143844.1143859openalex-snapshot
Dynamic topic models
inferredcites →https://doi.org/10.1145/1150402.1150450openalex-snapshot
Topics over time
inferredcites →https://doi.org/10.1145/1835804.1835940openalex-snapshot
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
inferredcites →https://doi.org/10.1145/1935826.1935863openalex-snapshot
Patterns of temporal variation in online media
inferredcites →https://doi.org/10.1145/2009916.2010016openalex-snapshot
Evolutionary timeline summarization
inferredcites →https://doi.org/10.1145/2133806.2133826openalex-snapshot
Probabilistic topic models
inferredcites →https://doi.org/10.1145/2483969.2483972openalex-snapshot
On collocations and topic models
inferredcites →https://doi.org/10.1145/2484028.2484045openalex-snapshot
Sumblr
inferredcites →https://doi.org/10.1145/2487788.2488114openalex-snapshot
Timelines as summaries of popular scheduled events
inferredcites →https://doi.org/10.1145/2488388.2488514openalex-snapshot
A biterm topic model for short texts
inferredcites →https://doi.org/10.1145/2507157.2507174openalex-snapshot
Spatial topic modeling in online social media for location recommendation
inferredcites →https://doi.org/10.1145/2939672.2939880openalex-snapshot
Topic Modeling of Short Texts
inferredcites →https://doi.org/10.1198/016214506000000302openalex-snapshot
Hierarchical Dirichlet Processes
inferredcites →https://doi.org/10.1609/aaai.v31i1.10726openalex-snapshot
Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation
inferredcites →https://doi.org/10.3115/v1/e14-1056openalex-snapshot
Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4665179openalex-extracted
inferred← citeshttps://doi.org/10.1002/cpe.7567openalex-snapshot
Social big data applications and challenges
inferred← citeshttps://doi.org/10.1002/cpe.7847openalex-snapshot
Microblog topic detection using evolutionary clustering and social network information
inferred← citeshttps://doi.org/10.1007/978-3-030-77626-8_15openalex-snapshot
Global Agendas: Detection of Agenda Shifts in Cross-National Discussions Using Neural-Network Text Summarization for Twitter
inferred← citeshttps://doi.org/10.1007/978-3-031-36027-5_4openalex-snapshot
Toxicity in Evolving Twitter Topics
inferred← citeshttps://doi.org/10.1007/978-3-031-92605-1_13openalex-snapshot
Modelling Protest Related Topics by Combining GPT-4 with State-of-the-Art Approaches
inferred← citeshttps://doi.org/10.1007/978-3-032-31407-9_16openalex-snapshot
Synthesizing Public Opinion: Can LLMs Generate Reliable Summaries from Social Media Discourse for Predictive Modeling?
inferred← citeshttps://doi.org/10.1007/s11192-022-04439-xopenalex-snapshot
Evolution analysis of online topics based on ‘word-topic’ coupling network
inferred← citeshttps://doi.org/10.1007/s12650-019-00615-zopenalex-snapshot
Visual analysis of the opinion flow among multiple social groups
inferred← citeshttps://doi.org/10.1016/j.ijdrr.2024.105027openalex-snapshot
Evolution and response of flood disaster network public opinion based on an event logic graph: A case study of rainstorms in Henan, China
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107359openalex-snapshot
A key elements influence discovery scheme based on ternary association graph and representation learning
inferred← citeshttps://doi.org/10.1109/access.2020.2983656openalex-snapshot
Twitter and Research: A Systematic Literature Review Through Text Mining
inferred← citeshttps://doi.org/10.1109/dsc53577.2021.00050openalex-snapshot
Dynamic Topic Model for Tracking Topic Evolution and Measuring Popularity of Scientific Literature
inferred← citeshttps://doi.org/10.1109/icces51350.2021.9488965openalex-snapshot
Comprehensive Survey on Techniques of Topic Evolution Mining
inferred← citeshttps://doi.org/10.1109/kst.2018.8426101openalex-snapshot
Discovery and Visualization of Expertise Evolution and Tendency
inferred← citeshttps://doi.org/10.1371/journal.pone.0316619openalex-snapshot
Development and validation of an automated machine for self-injury assessment via young Koreans’ natural writings
inferred← citeshttps://doi.org/10.3390/jtaer20030218openalex-snapshot
RL-TweetGen: A Socio-Technical Framework for Engagement-Optimized Short Text Generation in Digital Commerce Using Large Language Models and Reinforcement Learning
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