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Topic Models

66 papers with code ยท Miscellaneous

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Neural Embedding Allocation: Distributed Representations of Topic Models

10 Sep 2019

Word embedding models such as the skip-gram learn vector representations of words' semantic relationships, and document embedding models learn similar representations for documents.

DOCUMENT EMBEDDING TOPIC MODELS

Evaluating Topic Quality with Posterior Variability

8 Sep 2019

Probabilistic topic models such as latent Dirichlet allocation (LDA) are popularly used with Bayesian inference methods such as Gibbs sampling to learn posterior distributions over topic model parameters.

BAYESIAN INFERENCE TOPIC MODELS

Discriminative Topic Modeling with Logistic LDA

3 Sep 2019

Although it is a discriminative model, we show that logistic LDA can learn from unlabeled data in an unsupervised manner by exploiting the group structure present in the data.

TOPIC MODELS

Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training

1 Sep 2019

In this work, we consider weakly supervised approaches for training aspect classifiers that only require the user to provide a small set of seed words (i. e., weakly positive indicators) for the aspects of interest.

OPINION MINING TOPIC MODELS WORD EMBEDDINGS

Topic Modeling with Wasserstein Autoencoders

ACL 2019

To measure the diversity of the produced topics, we propose a simple topic uniqueness metric.

TOPIC MODELS

The Dynamic Embedded Topic Model

12 Jul 2019

Topic modeling analyzes documents to learn meaningful patterns of words.

TOPIC MODELS WORD EMBEDDINGS

Automatic Evaluation of Local Topic Quality

ACL 2019

Topic models are typically evaluated with respect to the global topic distributions that they generate, using metrics such as coherence, but without regard to local (token-level) topic assignments.

TOPIC MODELS

Leveraging Meta Information in Short Text Aggregation

ACL 2019

Short texts such as tweets often contain insufficient word co-occurrence information for training conventional topic models.

TOPIC MODELS

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models

ACL 2019

To address the lack of comparative evaluation of Human-in-the-Loop Topic Modeling (HLTM) systems, we implement and evaluate three contrasting HLTM modeling approaches using simulation experiments.

TOPIC MODELS

Topic Modeling with Wasserstein Autoencoders

ACL 2019

To measure the diversity of the produced topics, we propose a simple topic uniqueness metric.

TOPIC MODELS