Using pre trained word embeddings (Fasttext, Word2Vec)

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 .

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

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

API that answers questions related to the University of Bonn.

Sentiment Analysis of Kaggle Yelp Reviews using FastText.

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.

Theoretical and Implementation of different word embedding methods

Automatic paper clustering and search tool by fastext from Facebook Research

A workable example for fasttext based on python version

Simplest text classification implemented with Facebook FastText library

Player vs AI to reach the destination city. Enemy uses DFS algorithm to move. For each move will play games. The first game is using KNN algorithm to guess whether it will rain or not. The second game one will use word to vactor algorithm to guess the closest word. They can remove one city, bot(AI) will use A-star algorithm to remove a city.

Humor Detection App with Streamlit and fastText

Unsupervised sentiment analysis of Tweets (Machine Learning @ EPFL)

Do some analysis based on main AI conferences

Word and character embedding

Fake News Detection using fastText supervised learning

Various types of datascience projects