hamedR96 / ANTM
Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at different periods, and aligns document clusters to represent topic evolution.
☆34Updated last year
Alternatives and similar repositories for ANTM:
Users that are interested in ANTM are comparing it to the libraries listed below
- A package to run embedded topic modelling with ETM. Adapted from the original at: https://github.com/adjidieng/ETM☆96Updated last year
- Code for Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder (EMNLP2020).☆43Updated 10 months ago
- ☆52Updated 10 months ago
- CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.☆144Updated 7 months ago
- A Fast, Adaptive, Stable, and Transferable Topic Model☆50Updated this week
- Code for "Dynamic Contextualized Word Embeddings"☆30Updated 3 years ago
- [WWW 2022] Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations☆87Updated 2 years ago
- A collection of topic diversity measures for topic modeling☆45Updated 3 years ago
- A Topic Modeling System Toolkit☆209Updated this week
- PyTorch Implementation of Autoencoding Variational Inference for Topic Models (Srivastava and Sutton 2017)☆38Updated 5 years ago
- [WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding☆50Updated 4 years ago
- Model zoo for topic models, neural topic models, contextual embeddings for topic models ...☆42Updated 2 years ago
- Papers of Neural Topic Models (NTMs)☆66Updated 5 months ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆82Updated 2 years ago
- [LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweeban…☆103Updated 11 months ago
- This repository provides details and links to the ACL anthology corpus/collection including .bib, .pdf and grobid extractions of the pdfs☆173Updated last year
- ☆15Updated 4 months ago
- ☆67Updated 3 months ago
- ☆15Updated 3 years ago
- ☆132Updated 3 years ago
- Code and experiments for *BERTopic: Neural topic modeling with a class-based TF-IDF procedure*☆72Updated last year
- ☆18Updated last year
- A Framework for Textual Entailment based Zero Shot text classification☆154Updated 10 months ago
- Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings (EMNLP 2022 paper)☆66Updated 2 years ago
- Repo for Aspire - A scientific document similarity model based on matching fine-grained aspects of scientific papers.☆50Updated last year
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- A Python implementation for Structural Topic Modeling☆39Updated 2 years ago
- ☆16Updated this week
- ✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)☆92Updated 2 years ago
- [KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding☆57Updated 3 years ago