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magica1/
saxa3-capstone

Name: saxa3-capstone
Availability: InStock

bertopic

text-classification

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saxa3-capstone

This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. This text-classification model was modeled from The Department of Veterans Affairs Advisory Committee on Women Veterans biennial reports, from a period of 1996 - 2020. It was specifically generated from recommendations used within each of the reports.

Usage

To use this model, please install BERTopic:

pip install -U bertopic

You can use the model as follows:

python

from bertopic import BERTopic
topic_model = BERTopic.load("magica1/saxa3-capstone")

topic_model.get_topic_info()

Topic overview

Number of topics: 24
Number of training documents: 1602

Training hyperparameters

calculate_probabilities: False
language: None
low_memory: False
min_topic_size: 10
n_gram_range: (1, 1)
nr_topics: None
seed_topic_list: None
top_n_words: 10
verbose: False

Framework versions

Numpy: 1.23.5
HDBSCAN: 0.8.33
UMAP: 0.5.4
Pandas: 2.1.2
Scikit-Learn: 1.2.2
Sentence-transformers: 2.2.2
Transformers: 4.35.0
Numba: 0.56.4
Plotly: 5.15.0
Python: 3.10.12