Topic Modelling for Humans
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Updated
Jul 8, 2024 - Python
Topic Modelling for Humans
Pelican plugin to list similar posts to articles, based on a vector space model.
Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language.
Simple Indonesian text classifier
Bachelor's degree thesis in computer engineering - Natural Language Processing for sentiment and topic recognition
End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
This project implements a Transformer model from scratch using PyTorch, achieving over 80% accuracy on a selected dataset. It includes data preprocessing, model construction, training, and optimization techniques to enhance performance.
Retrieve semantically similar Steam games.
A simple Python3 tool to detect similarities between files within a repository
Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.
Centrale-NLP-Public-Ressources : This repository is about the NLP class 2023/2024
Book Recommendation System - NLP
Web-ify your word2vec: framework to serve distributional semantic models online
A basic word-embedding model to find best matching students or professors, and recommend the top n results to a specific student
This project is a web application that recommends recipes based on the ingredients provided by the user. It utilizes machine learning techniques to suggest recipes that match the input ingredients, providing users with personalized cooking ideas.
Question answering using word embedding models (Word2vec , fastText , Glove)
This project is a portfolio of my work on data scraping from Reddit using Python. Read the README file to learn more.
Add a description, image, and links to the gensim topic page so that developers can more easily learn about it.
To associate your repository with the gensim topic, visit your repo's landing page and select "manage topics."