contextualized-topic-models

nlp

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.

How to download and setup contextualized-topic-models

Open terminal and run command

git clone https://github.com/MilaNLProc/contextualized-topic-models.git

git clone is used to create a copy or clone of contextualized-topic-models repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with contextualized-topic-models https://github.com/MilaNLProc/contextualized-topic-models/archive/master.zip

Or simply clone contextualized-topic-models with SSH

[email protected]:MilaNLProc/contextualized-topic-models.git

If you have some problems with contextualized-topic-models

You may open issue on contextualized-topic-models support forum (system) here: https://github.com/MilaNLProc/contextualized-topic-models/issues

Similar to contextualized-topic-models repositories

Here you may see contextualized-topic-models alternatives and analogs

lectures spaCy HanLP gensim tensorflow_cookbook tensorflow-nlp Awesome-pytorch-list spacy-models TagUI Repo-2017 stanford-tensorflow-tutorials awesome-nlp franc nlp_tasks nltk TextBlob CoreNLP allennlp mycroft-core practical-pytorch prose ltp libpostal sling DeepNLP-models-Pytorch attention-is-all-you-need-pytorch kaggle-CrowdFlower hubot-natural chat KGQA-Based-On-medicine