latent-semantic-analysis

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

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

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

Topic modelling on financial news with Natural Language Processing

Python machine learning applications in image processing and algorithm implementations including Matrix Completion, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

Natural Language Processing for Lithuanian language

Document classification using Latent semantic analysis in python

Hard-Forked from JuliaText/TextAnalysis.jl

Generate word-word similarities from Gensim's latent semantic indexing (Python)

LSA-Bot is a new, powerful kind of Chat-bot focused on Latent Semantic Analysis.

Tool to analyse past parliamentary questions with visualisation in RShiny

News documents clustering using latent semantic analysis

An Unbiased Examination of Federal Reserve Meeting minutes

A repository for "The Latent Semantic Space and Corresponding Brain Regions of the Functional Neuroimaging Literature" -- http://www.biorxiv.org/content/early/2017/07/20/157826

Information retrieval and text mining using SVD in LSI. SVD has been implemented completely from scratch.

Data analysis projects

Final project for the course "EE4037 Introduction to Digital Speech Processing" 2020 fall.

Django-based web app developed for the UofM Bioinformatics Dept, now in development at Beaumont School of Medicine. Uses latent semantic analysis, text mining and web-scraping to find conceptual similarities ratings between researchers, grants and clinical trials.

LSA, Viterbi, word2vec, SVM, Naive Bayes

Some light topic modeling of Github public dataset from Google.

Code to train a LSI model using Pubmed OA medical documents and to use pre-trained Pubmed models on your own corpus for document similarity.

E-Commerce Comment Classification with Logistic Regression and LDA model

This project aims at predicting the flair or category of Reddit posts from r/india subreddit, using NLP and evaluation of multiple machine learning models. The best model was saved to predict flair when the user enters URL of a post.

eea.similarity

Application of Machine Learning Techniques for Text Classification and Topic Modelling on CrisisLexT26 dataset.

weighted topic modeling

Analyzing ratings and reviews for restaurants across 31 European cities

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.