Who Cited It

Reading Tea Leaves: How Humans Interpret Topic Models

2009 · 1,882 citations · 3 from inside this corpus

Jonathan Chang low, Sean Gerrish low, Chong Wang, Jordan Boyd‐Graber, David M. Blei

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Reading Tea Leaves: How Humans Interpret Topic Models (2009)Reading Tea Leaves: How Human…Latent dirichlet allocation (2003)Latent dirichlet allocationIndexing by latent semantic analysis (1990)Indexing by latent semantic a…A solution to Plato's problem: The latent semantic analysis theory of acquisition, induct… (1997)A solution to Plato's problem…NLTK (2002)NLTKSemantic Similarity Based on Corpus Statistics and Lexical Taxonomy (1997)Semantic Similarity Based on …Probabilistic Latent Semantic Analysis (2013)Probabilistic Latent Semantic…NLTK: The Natural Language Toolkit (2002)NLTK: The Natural Language To…Cheap and fast---but is it good? (2008)Cheap and fast---but is it go…Software Framework for Topic Modelling with Large Corpora (2010)Software Framework for Topic …Towards A Rigorous Science of Interpretable Machine Learning (2017)Towards A Rigorous Science of…Exploring the Space of Topic Coherence Measures (2015)Exploring the Space of Topic …
11 of 11 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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Citation edge evidence

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What this paper cites, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
Indexing by latent semantic analysis199012,850
A solution to Plato's problem: The latent semantic analysis theory of acquisition, induct…19976,147
NLTK20023,318
Semantic Similarity Based on Corpus Statistics and Lexical Taxonomy19972,230
Probabilistic Latent Semantic Analysis20132,093
NLTK: The Natural Language Toolkit20021,943
Cheap and fast---but is it good?20081,928

What cites it, inside the corpus

PaperYearCited
Software Framework for Topic Modelling with Large Corpora20103,809
Towards A Rigorous Science of Interpretable Machine Learning20173,190
Exploring the Space of Topic Coherence Measures20152,240

Links

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Topics

Topic ModelingComputer Science
Advanced Text Analysis TechniquesComputer Science
Natural Language Processing TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports23 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:52+00:00.

sha256 930f5bc64fea8a60…