Using pre trained word embeddings (Fasttext, Word2Vec)

一个文本分类的项目，这个项目实现了三种文本分类的方法，从一开始的随机森林，到fasttext，最后是基于BERT预训练模型训练出自己的文本分类模型；还包括模型的压缩，比如模型量化，模型蒸馏等操作；是一个完整的项目

Language detection using Spacy and Fasttext

This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

Tools for working with fastText, an open-source library from the Facebook AI Research lab, in Python

Sentiment Analysis of Kaggle Yelp Reviews using FastText.

API that answers questions related to the University of Bonn.

This is one of my fun projects. It's a review classifier based on Amazon's reviews dataset hosted on Kaggle. I used FastText and Deep Learning model LSTM to build it.

Automatic paper clustering and search tool by fastext from Facebook Research

Theoretical and Implementation of different word embedding methods

A workable example for fasttext based on python version

Humor Detection App with Streamlit and fastText

Simplest text classification implemented with Facebook FastText library

Do some analysis based on main AI conferences

Unsupervised sentiment analysis of Tweets (Machine Learning @ EPFL)

My ML and DL repo

Word and character embedding

Fake News Detection using fastText supervised learning