| yongzhuo/nlg-yongzhuo |
273 |
|
0 |
1 |
almost 4 years ago |
3 |
May 14, 2020 |
1 |
mit |
Python |
| 中文文本生成（NLG）之文本摘要（text summarization）工具包, 语料数据(corpus data), 抽取式摘要 Extractive text summary of Lead3、keyword、textrank、text teaser、word significance、LDA、LSI、NMF。（graph，feature，topic model，summarize tool or tookit） |
| louisowen6/NLP_bahasa_resources |
260 |
|
0 |
0 |
about 4 years ago |
0 |
|
0 |
mit |
|
| A Curated List of Dataset and Usable Library Resources for NLP in Bahasa Indonesia |
| lintool/Mr.LDA |
153 |
|
0 |
0 |
over 10 years ago |
0 |
|
8 |
apache-2.0 |
Java |
| Scalable Topic Modeling using Variational Inference in MapReduce |
| 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) |
| AdrienGuille/TOM |
78 |
|
0 |
0 |
over 7 years ago |
0 |
|
4 |
mit |
HTML |
| A library for topic modeling and browsing |
| datquocnguyen/jLDADMM |
68 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
other |
Java |
| A Java package for the LDA and DMM topic models |
| kifi/ReactiveLDA |
62 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
mit |
Scala |
| ReactiveLDA is a fast, lightweight implementation of the Latent Dirichlet Allocation (LDA) algorithm, using a parallel vanilla Gibbs sampling algorithm. |
| megagonlabs/sato |
59 |
|
0 |
0 |
over 4 years ago |
0 |
|
11 |
apache-2.0 |
Python |
| Code and data for Sato https://arxiv.org/abs/1911.06311. |
| DARIAH-DE/TopicsExplorer |
52 |
|
0 |
0 |
over 3 years ago |
0 |
|
39 |
apache-2.0 |
Python |
| Explore your own text collection with a topic model – without prior knowledge. |
| blei-lab/turbotopics |
44 |
|
0 |
0 |
almost 11 years ago |
0 |
|
0 |
|
Python |
| Turbo topics find significant multiword phrases in topics. |
