Finding current topics in news media via networks of words
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Topic modelling on twitter data using the Latent Dirichlet Allocation(LDA). Get the top news from twitter in the last few days.
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Files used in creating my 'Clutch Pitch' model
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Clustered Latent Dirichlet Allocation, a data decomposition approach to topic modeling in parallel
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Explainable Topic Models
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Hierarchical-LDA-Topic-Modelingby yuxiangh
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License: No License (No License)created the Hierarchical LDA topic modeling algorithms based on penalized average cosine similarity algorithms
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Embedding words to topic space
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Practical Approach to Word Embeddings using Word2Vec and Gensim.
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OptimalNumberOfTopicsby machine-intelligence-laboratory
Python 5 Version:Current License: Permissive (MIT)
A set of methods for finding an appropriate number of topics in a text collection
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Erlang terms represented in Ruby
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Computes the cosine distance between two arrays.
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InfoGrappo
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algorithms-documentationby codesandtags
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License: No License (No License)This is a compilation about all topics related with the Algorithms that I'm learning everyday
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calculate-cosine-similarityby kretawiweka
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License: No License (No License)Package for calculate cosine similarity with two array
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Python application for generating essay outlines from notes. Allows the user to sort notes by topic and arrange notes within a topic using a drag and drop interface.
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A Decision Support System (DSS) based on the Graph Model for Conflict Resolution (GMCR).
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Massive univariate linear model
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A Python program that displays MST in Rectilinear and Euclidean Space as well as SMT in Rectilinear and Euclidean space. Final project for algorithm topics.
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This project is designed to optimize job hunting experience for young programmers in China by implementing varies models like LDA topic, word2vector
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Human in the Loop Topic Model, using Word Embedding LDA
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Code examples for all topics required to pass the certification.
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A Stand Alone Graph Modeling Language Parser
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Text Mining code using TF-IDF algorithm for finding keywords and Apriori algorithm to produce association rules
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Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
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Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
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"A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)
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Cythonized implementation of Topic modeling.
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A new generative model for topic segmentation in documents based on a Context-Aware Latent Dirichlet Allocation
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Codes to analyze distance and coherence of topics generated by LDA
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Individual-based epidemiological modeling for COVID-19
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r topics for 631
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Demonstration of a standard topic model approach
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Combining Logical Abduction and Statistical INduction
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Main topic
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Reviewer assignment and scoring system based on topic models
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LDA Topic Modeling for Polar Data Insights
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Object detection using GMM
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Browse LDA topics models
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A fork of Berkeley Lab's Space Boundary Tool
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Envision Spatial Modeling Framework
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Optimal topic identification from a pool of Latent Dirichlet Allocation models
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R 5 Version:Current License: No License (No License)
License: No License (No License)My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics
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Visualization of Topic Modeling Results
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Implement K-means, EM, LDA from scratch; and use them to cluster documents by topics.
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Master thesis at the Hasso Plattner Institute on "Probabilistic Topic Models and Word Embeddings".
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Model the evolution of topics over time using dynamic topic models
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A Dirichlet Process Biterm-based Mixture Model for Short Text Stream Clustering
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news-media-topicsby alfredolainez
Finding current topics in news media via networks of words
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Document-Similarityby khoaipx
Context-based similar documents with gensim and scikit-learn
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twitter-ldaby ashg1910
Topic modelling on twitter data using the Latent Dirichlet Allocation(LDA). Get the top news from twitter in the last few days.
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-Clutch-Pitch-PITCHf-xby jessedow24
Files used in creating my 'Clutch Pitch' model
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CLDAby groppcw
Clustered Latent Dirichlet Allocation, a data decomposition approach to topic modeling in parallel
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Explainable-Topic-Modelsby xairc
Explainable Topic Models
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Hierarchical-LDA-Topic-Modelingby yuxiangh
created the Hierarchical LDA topic modeling algorithms based on penalized average cosine similarity algorithms
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topic_embeddingby lovit
Embedding words to topic space
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Train-Skill-Embeddingsby Harsh9524
Practical Approach to Word Embeddings using Word2Vec and Gensim.
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OptimalNumberOfTopicsby machine-intelligence-laboratory
A set of methods for finding an appropriate number of topics in a text collection
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ruby-erlang-termsby potatosalad
Erlang terms represented in Ruby
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cosine-distanceby compute-io
Computes the cosine distance between two arrays.
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algorithms-documentationby codesandtags
This is a compilation about all topics related with the Algorithms that I'm learning everyday
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calculate-cosine-similarityby kretawiweka
Package for calculate cosine similarity with two array
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Outlinerby GregOwen
Python application for generating essay outlines from notes. Allows the user to sort notes by topic and arrange notes within a topic using a drag and drop interface.
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gmcr-pyby onp
A Decision Support System (DSS) based on the Graph Model for Conflict Resolution (GMCR).
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pylearn-mulmby neurospin
Massive univariate linear model
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Steiner-Tree-Visualizationby Keydrain
A Python program that displays MST in Rectilinear and Euclidean Space as well as SMT in Rectilinear and Euclidean space. Final project for algorithm topics.
Python 5Updated: 4 y ago License: No License (No License)
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JobHuntingHelperby yunjianblackfyre
This project is designed to optimize job hunting experience for young programmers in China by implementing varies models like LDA topic, word2vector
Python 5Updated: 4 y ago License: No License (No License)
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hltm_weldaby AmFamMLTeam
Human in the Loop Topic Model, using Word Embedding LDA
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1Z0-816-Java-SE-11-Programmer-IIby skalster
Code examples for all topics required to pass the certification.
Java 5Updated: 4 y ago License: No License (No License)
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PyGMLParserby hasii2011
A Stand Alone Graph Modeling Language Parser
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Text-Miningby MrPatel95
Text Mining code using TF-IDF algorithm for finding keywords and Apriori algorithm to produce association rules
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meta-tail2vecby smufang
Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".
Python 5Updated: 4 y ago License: Permissive (MIT)
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Force2Vecby HipGraph
Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"
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GPMby jrmazarura
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VRTMby mmrezaee
"A Discrete Variational Recurrent Topic Model without the Reparametrization Trick" (NeurIPS 2020)
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topic-modelby satopirka
Cythonized implementation of Topic modeling.
Python 5Updated: 4 y ago License: Permissive (MIT)
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C-LDAby liliverpool
A new generative model for topic segmentation in documents based on a Context-Aware Latent Dirichlet Allocation
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Topic-Distance-and-Coherenceby Renata1995
Codes to analyze distance and coherence of topics generated by LDA
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covid19-epiby kassonlab
Individual-based epidemiological modeling for COVID-19
C 5Updated: 4 y ago License: Weak Copyleft (LGPL-2.1)
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Text-Analytics_LDAby tqx94
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topic-models-demoby m-clark
Demonstration of a standard topic model approach
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LASINby haldai
Combining Logical Abduction and Statistical INduction
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macOS-High-Sierra-HDby chris1111
Main topic
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reviewer_assignmentby daniel-acuna
Reviewer assignment and scoring system based on topic models
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pdi-topicsby USCDataScience
LDA Topic Modeling for Polar Data Insights
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GaussianMixtureModelby ayushishakya
Object detection using GMM
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space-boundary-toolby rosecodym
A fork of Berkeley Lab's Space Boundary Tool
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Envisionby boltej
Envision Spatial Modeling Framework
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OpTopby contefranz
Optimal topic identification from a pool of Latent Dirichlet Allocation models
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Topic-Modeling-with-Automated-Determination-of-the-Number-of-Topicsby bademiya21
My version of topic modelling using Latent Dirichlet Allocation (LDA) which finds the best number of topics for a set of documents using ldatuning package which comes with different metrics
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tmplotby maximtrp
Visualization of Topic Modeling Results
Python 5Updated: 3 y ago License: Permissive (MIT)
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document-clusteringby dgplex
Implement K-means, EM, LDA from scratch; and use them to cluster documents by topics.
Jupyter Notebook 5Updated: 3 y ago License: No License (No License)
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master-thesisby knub
Master thesis at the Hasso Plattner Institute on "Probabilistic Topic Models and Word Embeddings".
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TopicEvolutionby vatsalgit
Model the evolution of topics over time using dynamic topic models
Jupyter Notebook 5Updated: 4 y ago License: Permissive (MIT)
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BMMby junyachen
A Dirichlet Process Biterm-based Mixture Model for Short Text Stream Clustering
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