Installation, deployment, configuration, and usage examples for Spark in Google Cloud
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Updated
Jun 13, 2018 - Jupyter Notebook
Installation, deployment, configuration, and usage examples for Spark in Google Cloud
Latent semantic analysis model, functionality visualized on the task of finding similar articles in a database
Latent Semantic Analysis applied on movies, both in a content-based approach (exploiting the movies overviews) and in a collaborative approach (exploiting the users rates)
This repository explores how Rappler articles shape presidential policies by analyzing dominant themes related to President Bongbong Marcos' first year in office using Latent Semantic Analysis (LSA). The study provides insights for policy-making, strategic communications, and public engagement.
Exploratory and algorithmic (LDA, Supervised LDA, Regression) analysis of video game reviews
Sample of Python codes from mathematical problems
Final project for the course "EE4037 Introduction to Digital Speech Processing" 2020 fall.
This project presents an overview of Topic Modelling - a classical problem of unsupervised machine learning’s branch i.e., Natural Language Processing (NLP) - by studying and comparing two latent algorithms - Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA). These techniques are applied to a public dataset - ‘A Million News H…
Projet d'introduction au NLP et à la COMPUTER VISION
Implementation of various Extractive Text Summarization algorithms.
Vector space modeling of MovieLens & IMDB movie data
Study and application of the Latent Semantic Analysis (LSA) technique in a dataset containing Australian news headlines.
Public repository for B13logy LLC
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.
Comparison of several dimension reduction methods aiming at the extraction of latent semantic information
LSA, Viterbi, word2vec, SVM, Naive Bayes
Expert user recommendation system for online Q&A communities
Built a semantic search engine that returns top five related articles text snippets and full text from the top related article on Wikipedia, and a predictive model that categorize new articles with an accuracy score of 98%.
Comparison of Topic Modelling Techniques using Medium Post Articles Titles.
Applying different models for query searching (information retrieving)
Add a description, image, and links to the latent-semantic-analysis topic page so that developers can more easily learn about it.
To associate your repository with the latent-semantic-analysis topic, visit your repo's landing page and select "manage topics."