This project was a joint effort by Lucas De Oliveira, Chandrish Ambati, and Anish Mukherjee to create a song and playlist embeddings for recommendations in a distributed fashion using a 1M playlist dataset by Spotify.
Notebooks for the Seattle PyData 2017 talk on Scattertext
Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and techniques, on several modern platforms and libraries.
It was built a web application as a step forward in building a 3D recommendation system.
A simple web application for searching Word2Vec embeddings derived from approximately 2,000 law reports published by the The Incorporated Council of Law Reporting for England & Wales (https://www.iclr.co.uk).
Github Repository for LSTM-based system generating automated abstract of scientific articles
Your own API endpoint to perform NLP functions like semantic search, sentence embedding, etc.
In this project, we used the page rank algorithm to extract important sentences as an extractive summary. We used word2vec representation of words to calculate word similarities.
Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.
Examples available at:
Analysis and Visualizations for COVID-19 Bing search engine queries + Classifier pipeline for predicting country based on search query.
Alternative Content-Based Community Discovery and Recommendation
This repository is for Fake News Detection using Deep Learning models
Recommendations for Chinese cuisines
A chrome extension and related code for training the chatbot LightBlue.
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