latent-semantic-analysis

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

UpdatedDec 16, 2022
Jupyter Notebook

josephwilk /rsemantic

Star149

A document vector search with flexible matrix transforms. Currently supports Latent semantic analysis and Term frequency - inverse document frequency

ruby term-frequency latent-semantic-analysis

UpdatedJul 28, 2020
Ruby

jonaschn /awesome-topic-models

Star101

✨ Awesome - A curated list of amazing Topic Models (implementations, libraries, and resources)

nlp text-mining awesome topic-modeling awesome-list latent-dirichlet-allocation dirichlet-process-mixtures latent-semantic-analysis topic-models non-negative-matrix-factorization dynamic-topic-modeling sentence-lda dirichlet-multinomial topic-model truncated-svd hierarchical-dirichlet-processes labeled-lda author-topic-model

UpdatedJul 11, 2022

tra38 /ZombieWriter

Star76

ZombieWriter is a Ruby gem that will enable users to generate news articles by aggregating paragraphs from other sources.

ruby text-generation k-means latent-semantic-analysis

UpdatedJul 1, 2018
Ruby

mattmurray /topic_modelling_financial_news

Star59

Topic modelling on financial news with Natural Language Processing

python nlp sklearn spacy nltk topic-modeling matplotlib tf-idf k-means nlp-stemming latent-dirichlet-allocation nlp-machine-learning dbscan stemming latent-semantic-analysis

UpdatedAug 29, 2017
Jupyter Notebook

aliprf /GANalyzer

Star39

GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis

generative-adversarial-network gan semantic-analysis latent-semantic-analysis image-synthesis latent-space facial-attribute-editing ganalyzer

UpdatedFeb 15, 2024
Python

dayyass /latent-semantic-analysis

Star23

Pipeline for training LSA models using Scikit-Learn.

python nlp data-science machine-learning natural-language-processing pipeline topic-modeling lsa hacktoberfest latent-semantic-analysis

UpdatedOct 12, 2021
Python

minven /nlp-lt

Star18

Natural Language Processing for Lithuanian language

nlp search-engine natural-language-processing text-classification clustering lda svd topic-extraction latent-semantic-analysis

UpdatedAug 17, 2017
Python

yulewang97 /BeNeDiff

Star17

[NeurIPS'24 Poster] Official Repo for Paper "Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models"

latent-semantic-analysis neuroscience-methods diffusion-models

UpdatedOct 15, 2024
Python

KingJamesSong /HouseholderGAN

Star17

ICCV23 "Householder Projector for Unsupervised Latent Semantics Discovery"

generative-adversarial-network latent-semantic-analysis disentangled-representations latent-representations

UpdatedJun 26, 2025
Jupyter Notebook

zgornel /StringAnalysis.jl

Star17

Hard-Forked from JuliaText/TextAnalysis.jl

text-analysis text-processing random-projections latent-semantic-analysis corpus-processing

UpdatedAug 14, 2023
Julia

sudharsan13296 /Document-Classification-using-LSA

Star16

Document classification using Latent semantic analysis in python

python natural-language-processing deep-learning tensorflow keras document document-classification tf-idf lsa latent-semantic-analysis

UpdatedOct 17, 2017
Jupyter Notebook

Tuhin-SnapD /Text-Summarization-Models

Star11

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.