Topic Modelling for Humans
-
Updated
Jun 4, 2024 - Python
Topic Modelling for Humans
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
Toolkit to obtain and preprocess German text corpora, train models and evaluate them with generated testsets. Built with Gensim and Tensorflow.
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.
Serving locale view of GenSim's KeyedVectors
Language of Music - Topic modelling of over 5 million lyrics.
Using Neural Representations for Generating Intent-based Query Phrases
Topic Modelling for Academic Papers with NLP
Repository for Data Mining Approach to the Detection of Suicide in Social Media: A Case Study of Singapore
Pelican plugin to list similar posts to articles, based on a vector space model.
Retrieve semantically similar Steam games.
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."