| piskvorky/gensim |
14,915 |
|
2,371 |
766 |
over 2 years ago |
93 |
August 24, 2023 |
405 |
lgpl-2.1 |
Python |
| Topic Modelling for Humans |
| ddangelov/Top2Vec |
2,738 |
|
0 |
2 |
over 2 years ago |
36 |
November 16, 2023 |
62 |
bsd-3-clause |
Python |
| Top2Vec learns jointly embedded topic, document and word vectors. |
| JasonKessler/scattertext |
2,131 |
|
8 |
2 |
over 2 years ago |
148 |
April 18, 2023 |
22 |
apache-2.0 |
Python |
| Beautiful visualizations of how language differs among document types. |
| dselivanov/text2vec |
829 |
|
15 |
18 |
over 2 years ago |
10 |
November 09, 2023 |
24 |
other |
R |
| Fast vectorization, topic modeling, distances and GloVe word embeddings in R. |
| adjidieng/ETM |
507 |
|
0 |
0 |
almost 3 years ago |
0 |
|
30 |
mit |
Python |
| Topic Modeling in Embedding Spaces |
| ruidan/Unsupervised-Aspect-Extraction |
230 |
|
0 |
0 |
about 6 years ago |
0 |
|
13 |
apache-2.0 |
Python |
| Code for acl2017 paper "An unsupervised neural attention model for aspect extraction" |
| datquocnguyen/LFTM |
149 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
other |
Java |
| Improving topic models LDA and DMM (one-topic-per-document model for short texts) with word embeddings (TACL 2015) |
| hugochan/KATE |
146 |
|
0 |
0 |
almost 3 years ago |
0 |
|
4 |
bsd-3-clause |
Python |
| Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text" |
| TropComplique/lda2vec-pytorch |
94 |
|
0 |
0 |
over 8 years ago |
0 |
|
8 |
mit |
Jupyter Notebook |
| Topic modeling with word vectors |
| madrugado/Attention-Based-Aspect-Extraction |
54 |
|
0 |
0 |
over 5 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Code for unsupervised aspect extraction, using Keras and its Backends |
