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Found 4 papers, 1 papers with code
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification
Text classification is a significant branch of natural language processing, and has many applications including document classification and sentiment analysis.
Cross-referencing using Fine-grained Topic Modeling
Cross-referencing, which links passages of text to other related passages, can be a valuable study aid for facilitating comprehension of a text.
Automatic Evaluation of Local Topic Quality
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.
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier
We propose Labeled Anchors, an interactive and supervised topic model based on the anchor words algorithm (Arora et al., 2013).
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