fengfengfeng1's Stars
msgi/nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc.
meereeum/lda2vec-tf
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
vladsandulescu/topics
Topic modeling with gensim and LDA
JoeZJH/Labeled-LDA-Python
Implement of L-LDA Model(Labeled Latent Dirichlet Allocation Model) with python
nateraw/Lda2vec-Tensorflow
Tensorflow 1.5 implementation of Chris Moody's Lda2vec, adapted from @meereeum
KenHBS/LDA_thesis
Hierarchical, multi-label topic modelling with LDA
mansweet/Gaussian-LDA-word2vec
LDA topic modeling with word2vec using gaussian topic distributions for infinite vocabulary
CPJKU/deep_lda
Implementation of Deep Linear Discriminant Analysis (DeepLDA)
g-deoliveira/TextSummarization
Extractive Text Summarization Using LDA For Topic Modeling
VahidooX/DeepLDA
An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
vlukiyanov/pt-avitm
PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
ayushjain91/Sentiment-LDA
demoyhui/KeywordExtraction
基于LDA和TextRank的关键子提取算法实现
chapzq77/LDA-SVM
使用LDA+SVM进行文本的分类
lucastheis/logistic_lda
Basic tensorflow implementation of logistic latent Dirichlet allocation
HarryBaker/LDAtopicSimilarity
Calculates the similarity of topics in an LDA model using cosine similarity, Hessinger Distance, and topic2vec
Mega-DatA-Lab/SpectralLDA
Spectral LDA
ailiverse/api-samples
Scripts for running Ailiverse APIs
im-pek/LDA2Word_Topic_Modelling
LDA2Word is a novel topic modelling technique created in June 2019, by yours truly, Pek Yun Ning. It hybridises the older LDA and Word2Vec topic modelling algorithms to form this all-new algorithm.
fxfviolet/LDA_for_topic
laloceh/LDA