academia-mar11Top10

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.

Usage

To use this model, please install BERTopic:

pip install -U bertopic

You can use the model as follows:

from bertopic import BERTopic
topic_model = BERTopic.load("Thang203/academia-mar11Top10")

topic_model.get_topic_info()

Topic overview

  • Number of topics: 10
  • Number of training documents: 2353
Click here for an overview of all topics.
Topic ID Topic Keywords Topic Frequency Label
-1 models - language - language models - large - llms 10 -1_models_language_language models_large
0 language - models - language models - model - large 678 0_language_models_language models_model
1 code - software - llms - models - generation 1117 1_code_software_llms_models
2 chatgpt - ai - education - students - learning 168 2_chatgpt_ai_education_students
3 adversarial - attacks - models - privacy - attack 127 3_adversarial_attacks_models_privacy
4 legal - financial - models - patent - language 73 4_legal_financial_models_patent
5 learning - reinforcement learning - reinforcement - rl - policy 55 5_learning_reinforcement learning_reinforcement_rl
6 training - quantization - memory - transformer - models 54 6_training_quantization_memory_transformer
7 materials - molecular - molecule - discovery - models 52 7_materials_molecular_molecule_discovery
8 surprisal - reading - models - language - language models 19 8_surprisal_reading_models_language

Training hyperparameters

  • calculate_probabilities: False
  • language: english
  • low_memory: False
  • min_topic_size: 10
  • n_gram_range: (1, 1)
  • nr_topics: 10
  • seed_topic_list: None
  • top_n_words: 10
  • verbose: True
  • zeroshot_min_similarity: 0.7
  • zeroshot_topic_list: None

Framework versions

  • Numpy: 1.25.2
  • HDBSCAN: 0.8.33
  • UMAP: 0.5.5
  • Pandas: 1.5.3
  • Scikit-Learn: 1.2.2
  • Sentence-transformers: 2.6.1
  • Transformers: 4.38.2
  • Numba: 0.58.1
  • Plotly: 5.15.0
  • Python: 3.10.12
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