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
Simplest text classification implemented with Facebook FastText library
Automatic paper clustering and search tool by fastext from Facebook Research
Humor Detection App with Streamlit and fastText
Do some analysis based on main AI conferences
Unsupervised sentiment analysis of Tweets (Machine Learning @ EPFL)
Word and character embedding
Fake News Detection using fastText supervised learning
Various types of datascience projects
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