Bertopic Model Card Bias
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Bertopic Model Card Bias

Developed by librarian-bots
BERTopic is a flexible and modular topic modeling framework capable of generating easily interpretable topics from large datasets.
Downloads 14
Release Time : 5/11/2023

Model Overview

This model is a topic model built on the BERTopic framework, specifically designed to analyze bias content in model cards, capable of identifying and extracting key themes from text data.

Model Features

Modular design
BERTopic adopts a modular architecture, allowing users to flexibly replace embedding, dimensionality reduction, and clustering components.
Interpretability
Generated topics are highly interpretable, providing clear keyword representations.
Automatic topic count
No need to pre-specify the number of topics; the model automatically determines the optimal number of topics.

Model Capabilities

Text topic identification
Document clustering
Keyword extraction
Topic visualization

Use Cases

Model analysis
Model card bias analysis
Analyze potential bias themes in model card documents
Identified 11 main topics, including generative research, dataset characteristics, etc.
Document analysis
Technical document topic mining
Extract main topics and keywords from technical documents
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