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Topic Models

74 papers with code · Miscellaneous

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A Coefficient of Determination for Probabilistic Topic Models

20 Nov 2019TommyJones/tidylda

This research proposes a new (old) metric for evaluating goodness of fit in topic models, the coefficient of determination, or $R^2$.

TOPIC MODELS

1
20 Nov 2019

Statistical Model Aggregation via Parameter Matching

NeurIPS 2019 IBM/SPAHM

We consider the problem of aggregating models learned from sequestered, possibly heterogeneous datasets.

GAUSSIAN PROCESSES MOTION CAPTURE TEXT SUMMARIZATION TOPIC MODELS

2
01 Nov 2019

Prediction Focused Topic Models via Vocab Selection

12 Oct 2019jasonren12/PredictionFocusedTopicModel

Supervised topic models are often sought to balance prediction quality and interpretability.

TOPIC MODELS

0
12 Oct 2019

Learning document embeddings along with their uncertainties

20 Aug 2019skesiraju/BaySMM

We present Bayesian subspace multinomial model (Bayesian SMM), a generative log-linear model that learns to represent documents in the form of Gaussian distributions, thereby encoding the uncertainty in its co-variance.

TOPIC MODELS

8
20 Aug 2019

The Dynamic Embedded Topic Model

12 Jul 2019adjidieng/DETM

Topic modeling analyzes documents to learn meaningful patterns of words.

TOPIC MODELS WORD EMBEDDINGS

23
12 Jul 2019

Topic Modeling in Embedding Spaces

8 Jul 2019adjidieng/ETM

To this end, we develop the Embedded Topic Model (ETM), a generative model of documents that marries traditional topic models with word embeddings.

TOPIC MODELS WORD EMBEDDINGS

137
08 Jul 2019

Scalable Collapsed Inference for High-Dimensional Topic Models

NAACL 2019 dr97531/SparseSCVB0

In this paper, we develop an online inference algorithm for topic models which leverages stochasticity to scale well in the number of documents, sparsity to scale well in the number of topics, and which operates in the collapsed representation of the topic model for improved accuracy and run-time performance.

TOPIC MODELS

0
01 Jun 2019

Tracing Forum Posts to MOOC Content using Topic Analysis

15 Apr 2019awwong1/topic-traceability

Massive Open Online Courses are educational programs that are open and accessible to a large number of people through the internet.

TOPIC MODELS

1
15 Apr 2019

Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya Urns

11 Mar 2019atcemgil/bam

We introduce a dynamic generative model, Bayesian allocation model (BAM), which establishes explicit connections between nonnegative tensor factorization (NTF), graphical models of discrete probability distributions and their Bayesian extensions, and the topic models such as the latent Dirichlet allocation.

MODEL SELECTION TOPIC MODELS

1
11 Mar 2019

Vector space explorations of literary language

Language Resources and Evaluation 2019 andreasvc/litvecspace

Previous research showed that ratings of literariness are predictable from texts to a substantial extent using machine learning, suggesting that it may be possible to explain the consensus among readers on which novels are literary as a consensus on the kind of writing style that characterizes literature.

TOPIC MODELS

3
09 Feb 2019