Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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Updated
May 28, 2024 - Python
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Code for On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024)
Code for Effective Neural Topic Modeling with Embedding Clustering Regularization (ICML2023)
Topic Embedding, Text Generation and Modeling using diffusion
Semi supervised Topic Modeling using Neural Network
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Topic classifier based on MPNet, for 16 general topics
A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM
Comparing the scalability and quality of topic models in Gensim and PySpark
Abstractive Multi-Document Summarisation, generating Wikipedia lead sections for specific domains. Exploiting target summaries content structure. Specific categories from WikiSum dataset.
This is the repository of the paper "Unsupervised Graph-based Topic Modeling from Video Transcriptions"
A collection of topic diversity measures for topic modeling
Theme Supervised Nonnegative Matrix Factorization
Automatic detection of robust parametrizations for LDA and NMF. Compatible with scikit-learn and gensim.
Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"
Bachelor thesis @ KIT
Dynamic Dynamic Topic-Discourse Memory Networks (DTDMN)
A Generative Probabilistic Model for NLP
An open-source framework to create and test document embeddings using topic models.
🔎📰 Detecting topic for new article.
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