Latent semantic analysis model, functionality visualized on the task of finding similar articles in a database
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Updated
Feb 16, 2023 - Jupyter Notebook
Latent semantic analysis model, functionality visualized on the task of finding similar articles in a database
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.
Walkthrough a toy example of Latent Semantic Analysis
Comparison of Topic Modelling Techniques using Medium Post Articles Titles.
A Project on Topic Modeling using alogoriths like LSA/LSI, LDA, NMF on RACE dataset
Market trends and investment insights
Installation, deployment, configuration, and usage examples for Spark in Google Cloud
Search Engine based on Cranfield dataset
Exploratory and algorithmic (LDA, Supervised LDA, Regression) analysis of video game reviews
Implementation of various Extractive Text Summarization algorithms.
Proposal: Pioneering Structured & Consistent LLM Generation via Deep Knowledge Graph Integration
LSA, Viterbi, word2vec, SVM, Naive Bayes
Vector space modeling of MovieLens & IMDB movie data
This repository contains the MSc thesis project titled "A Generic Multitask Summarizer for Amharic Text Documents". The project addresses the challenges of information overload and automatic text analysis by providing a versatile and parameterizable framework for extractive text summarization.
Study and application of the Latent Semantic Analysis (LSA) technique in a dataset containing Australian news headlines.
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)
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…
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