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Jun 18, 2020 - Jupyter Notebook
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lda
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Python code for common Machine Learning Algorithms
random-forest
svm
linear-regression
naive-bayes-classifier
pca
logistic-regression
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lda
polynomial-regression
kmeans-clustering
hierarchical-clustering
svr
knn-classification
xgboost-algorithm
A Toolkit for Industrial Topic Modeling
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Mar 28, 2020 - C++
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. All codes are implemented intensorflow 2.0.
tensorflow
svm
word2vec
crf
keras
similarity
classification
attention
gensim
lda
fasttext
ner
embedding
bert
elmo
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Jul 8, 2020 - Python
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
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Aug 8, 2019 - Python
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
nlp
go
golang
machine-learning
natural-language-processing
lsh
simhash
locality-sensitive-hashing
tf-idf
lsa
lda
random-projections
svd
lsi
latent-dirichlet-allocation
latent-semantic-analysis
singular-value-decomposition
feature-hash
latent-semantic-indexing
random-indexing
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Apr 17, 2020 - Go
LDA topic modeling for node.js
nodejs
javascript
nlp
language
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natural-language-processing
node
ai
topics
artificial-intelligence
keywords
topic-modeling
node-js
lda
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Jul 16, 2019 - JavaScript
Open Source Package for Gibbs Sampling of LDA
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Feb 9, 2020 - Java
Implement face recognition using PCA, LDA and LPP
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Nov 3, 2018 - Java
A PureScript, browser-based implementation of LDA topic modeling.
nlp
data-science
machine-learning
natural-language-processing
text-mining
reactive
purescript
functional-programming
clustering
machine-learning-algorithms
bulma
reactive-programming
bulma-css
topic-modeling
bayesian
lda
latent-dirichlet-allocation
nlp-machine-learning
gibbs-sampling
thermite
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Mar 2, 2018 - PureScript
Short Text Topic Modeling, JAVA
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May 24, 2020 - Java
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)
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May 14, 2020 - Python
A Java package for the LDA and DMM topic models
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Apr 17, 2019 - Java
Displays all the 2019 CVPR Accepted Papers in a way that they are easy to parse.
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Jun 11, 2020 - HTML
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
bootstrap
machine-learning
random-forest
linear-regression
statistical-learning
supervised-learning
pca
logistic-regression
boosting-algorithms
lda
islr
bagging
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Jul 12, 2019 - Jupyter Notebook
Using latent Dirichlet allocation (LDA) in Apache Lucene
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Nov 19, 2012 - C++
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
multilingual
machine-learning
natural-language-processing
clustering
english
french
lda
latent-dirichlet-allocation
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Mar 28, 2019 - Python
Repo for my talk at the PyData Berlin 2017 conference
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Jul 30, 2017 - Jupyter Notebook
A Latent Dirichlet Allocation implementation in Python.
python
nlp
machine-learning
natural-language-processing
machine-learning-algorithms
topic-modeling
bayesian-inference
lda
variational-inference
latent-dirichlet-allocation
gibbs-sampling
gibbs-sampler
topic-models
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Mar 24, 2019 - Python
A workshop on analyzing topic modeling (LDA, CTM, STM) using R
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Mar 1, 2018 - HTML
a repository for my curriculum project
nlp
golang
distributed-systems
machine-learning
reinforcement-learning
tensorflow
raft
pca
mapreduce
lda
svd
ner
isomap
invertedindex
bilstm-crf
computational-theory
chart-parser
triangle-count
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May 8, 2020 - Python
A Python library for topic modeling and visualization
data-science
machine-learning
natural-language-processing
text-mining
python3
topic-modeling
digital-humanities
lda
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Sep 13, 2019 - Python
machine learning algorithms in Swift
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Sep 2, 2017 - Swift
Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.
python
machine-learning
text-mining
neural-network
word2vec
word-embeddings
web-scraping
lstm
expectation-maximization
gradient-descent
text-processing
lda
text-prediction
scraping-websites
latent-dirichlet-allocation
skipgram
gibbs-sampling
long-short-term-memory-models
word-embedding
textual-analysis
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Sep 21, 2017 - Jupyter Notebook
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
optimization
word2vec
deepwalk
matrix-factorization
feature-extraction
pca
topic-modeling
factorization
lda
unsupervised-learning
admm
sparse-matrix
principal-component-analysis
embedding
nmf
principal-components
node2vec
unsupervised-machine-learning
word-embedding
beta-divergence
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Jun 1, 2020 - Python
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Feb 26, 2019 - Jupyter Notebook
Various examples of topic modeling and other text analysis
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Mar 31, 2016 - R
frederik-elwert
commented
Nov 28, 2018
I noticed that in my test corpus, the row (document) labels are off in the document-topics heatmap visualisation: The labels start a few lines below the top, and at the bottom they “overshoot” the matrix. The tooltip shows that the row refers to a different document.
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Hello,
First of all, thanks for developing this for Python!
I have been looking at the code and I cannot seem to find a way to infer the distribution of a document over the topics in its path from the root to the leaf (which would be the parameter theta in the "Hierarchical Topic Models and the Nested Chinese Restaurant Process" paper) and also the distribution of a topic over the words (whi