Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
Topic Modelling for Humans
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Top2Vec learns jointly embedded topic, document and word vectors.
A Toolkit for Industrial Topic Modeling
Beautiful visualizations of how language differs among document types.
A Python toolbox for gaining geometric insights into high-dimensional data
Interact, analyze and structure massive text, image, embedding, audio and video datasets
Owl - OCaml Scientific Computing @ https://ocaml.xyz
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 (Bianchi et al.).
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Fast topic modeling platform
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
Resources for learning about Text Mining and Natural Language Processing
Python package of Tomoto, the Topic Modeling Tool
R package for web-based interactive topic model visualization.
An off-the-shelf tool for Chinese Keyphrase Extraction 一个快速从中文里抽取关键短语的工具,仅占35M内存 www.jionlp.com
semi supervised guided topic model with custom guidedLDA
Various Algorithms for Short Text Mining
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