Latent semantic analysis model, functionality visualized on the task of finding similar articles in a database
-
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
LSA, Viterbi, word2vec, SVM, Naive Bayes
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
Proposal: Pioneering Structured & Consistent LLM Generation via Deep Knowledge Graph Integration
Market trends and investment insights
Installation, deployment, configuration, and usage examples for Spark in Google Cloud
Search Engine based on Cranfield dataset
Retrieval of Semantically Relevant Documents using Latent Semantic Analysis
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.
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.
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)
Correlated Occurrence Analogue to Lexical Semantics (COALS)
Exploratory and algorithmic (LDA, Supervised LDA, Regression) analysis of video game reviews
Implementation of various Extractive Text Summarization algorithms.
Sample of Python codes from mathematical problems
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."