A basic word-embedding model to find best matching students or professors, and recommend the top n results to a specific student

Question answering using word embedding models (Word2vec , fastText , Glove)

한국어 토픽모델링(Topic Modeling)을 위한 python 코드입니다.

This project is a portfolio of my work on data scraping from Reddit using Python. Read the README file to learn more.

The goal of this repository is to define a way to align topic extraction from latent dirichlet allocation with predefined topics whose vocabulary is created on the fly with an LLM.

Centrale-NLP-Public-Ressources : This repository is about the NLP class 2023/2024

Serving locale view of GenSim's KeyedVectors

Language of Music - Topic modelling of over 5 million lyrics.

Topic Modelling for Humans

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

Sentiment analysis is part of the NLP techniques that consists in extracting emotions related to some raw texts.

Retrieve semantically similar Steam games.

Development of guess a word game with NLP and optimal strategies search

This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow

Mini Chatbot with NLP(NLTK) and Gensim Word Similarity

🦆 Contextually-keyed word vectors

I am building a model that predicts if a football tweet/news is real or not.

Topic modelling data collection and analysis with Python for LLaMA dataset