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Tweet_Analysis_DomesticAbuse-Covid-19-by londongustofson
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Topic-Modelling-with-STM-and-DLAby SRIGURUPRASAD
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License: No License (No License)Categorizing the stories under a particular Topic with the help of the LDA approach and finding the term frequency . This is achieved through the lucrative cleaning of the data and converting them into a Document Term Matirx. The main model used in modelling is STM package in R . The highest correlative topics are spotted and the stories are categorized .
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topic-modelerby smacawi
Framework to apply LDA and Biterm topic modelling to an unlabeled corpus
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ECMMon-Rby antononcube
Epidemiology Compartmental Modeling Monad in R
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gibbs-ldaby zhanghuimeng
Using Gibbs sampling to do LDA.
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iPhoneMinerby zhengyanfeng
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Simple_digital_scopeby wudi96519
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gutenberg-storiesby saurabhmathur96
a collection of short stories from project gutenberg
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topic_modelingby vysotin
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OptimizationMetamodelby usnistgov
A UML-based model of the Optimization Modeling Language (OPL)
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non-negative-word2vecby waterblas
A word2vec toolkit with non-negative constrains.
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VOD_hydraulicsby YanlanLiu
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venezuela-decodedby maquigu
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simsketchby larsbollen
drawing based modelling for early science education
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InsightOverflowby andrewmsilva
A bachelor's thesis focusing on making an exploratory analysis from Stack Overflow posts, making general and user-centric analyses on discussed topics.
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r-talksby achubaty
my various presentations on R topics
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MyriadSwitcherby DarioIriberri
A Myriadcoin Auto-switching mining software
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ldaby cran
:exclamation: This is a read-only mirror of the CRAN R package repository. lda — Collapsed Gibbs Sampling Methods for Topic Models
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medical-image-computingby et-tamen-compilat
Computing Topics Group Project
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word2vec-word-similarityby huxuan
Calculate word similarity via word2vec
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autdmcby Meshkati
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wheel_of_misfortuneby shenril
Wheel of misfortune to decide the topic of the brainstorming
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model-conceptby mstokes607
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EE-779by meetshah1995
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r_cycleby bdemeshev
cycle of R notes on different topics
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CLDAby anonymity01
conceptualization latent dirichlet allocation
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Mysis_DVM_Modelingby nstrayer
The code and brainstorms for my senior thesis project "Modeling the Diel Vertical Migration Patterns of Mysis diluviana."
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AHP-JS-versionby Ancientshi
js写的层次分析法算法，AHP model based on javascript
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osint_bitcoinby stekole
opensource intelligence on miners
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tfzrtwitappby Alexayy
University Science Paper for "Open Source Software Development". Topic for this paper is Twitter Clone.
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RecNewsSysby DooBeDooBa
A news website based on data mining
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screepsby Tmvant
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hypernonsenseby martindevans
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folding-at-azureby azurecloudminingscript
Run folding@home in the azure cloud.
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lightning-network-graphxmlby kulpreet
Lightning Network DescribeGraph to GraphXML
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Poc-Tagsby fabric8-analytics
Work around aagregation and cleaning topics for github topics
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SelectiveInferenceby jaydu1
Course project for STAT 41520 Topics in Selective Inference.
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AssociationRuleMiningby mi-erasmusmc
An R package that implements association rule mining and frequent pattern mining against the OMOP-CDM
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ncov-text-analysisby wangmy22
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Tweet_Analysis_DomesticAbuse-Covid-19-by londongustofson
Analyzed trending topic in twitter using R
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millsby emanuelealiverti
Composite mixture of log-linear models for categorical data
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exploring_thematic_structureby EESI
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Topic-Modelling-with-STM-and-DLAby SRIGURUPRASAD
Categorizing the stories under a particular Topic with the help of the LDA approach and finding the term frequency . This is achieved through the lucrative cleaning of the data and converting them into a Document Term Matirx. The main model used in modelling is STM package in R . The highest correlative topics are spotted and the stories are categorized .
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poincare-embeddingsby mana-ysh
Implementation of poincare embeddings
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Learning-VBAby zyhh
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talk-nested-set-modelby jhannah
Jay's talk about nested set model, featuring DBIx::Class::Tree::NestedSet.
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ideal_topic_modelingby sumehta
Topic modeling of twitter data and web page collections using Latent Dirichlet Allocation [LDA] in Scala
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