Notebooks for the Seattle PyData 2017 talk on Scattertext
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Updated
Jan 12, 2018 - HTML
Notebooks for the Seattle PyData 2017 talk on Scattertext
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.
It was built a web application as a step forward in building a 3D recommendation system.
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.
Github Repository for LSTM-based system generating automated abstract of scientific articles
Let's hunt Fake News using Word2Vec, GloVe, FastText or learnt from corpus German embeddings.
Examples available at:
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).
Your own API endpoint to perform NLP functions like semantic search, sentence embedding, etc.
A chrome extension and related code for training the chatbot LightBlue.
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.
Recommendations for Chinese cuisines
This repository is for Fake News Detection using Deep Learning models
자연어처리 / 파이토치 스터디
Next block prediction in the block base visual programming environment, NetsBlox
The project involves performing sentiment analysis on the reviews referring to the most talked about features of the phone.The reviews are scraped using python from amazon.Topic modelling is used to obtain the four most talked about features of the phone. Sentiment Analysis is performed on the reviews related to these features.Each of the review…
Multinomial classification tasks in Reddit
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