This repository contains a collection of categorized Jupyter Notebooks developed at AYLIEN as demos, proofs of concept, etc.
Here you can find a list of available notebooks on this repo.
A package of Natural Language Processing (NLP) and Machine Learning tools for extracting structured information from textual content with ease.
Website: https://developer.aylien.com/
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Web Summit 2015 tweet analysis
The goal of this notebook is to analyze and visualize thousands of tweets gathered as part of a tech conference, using various document representation and modeling techniques such as LDA, K-means, doc2vec and skip-thought vectors.
Search and source news and content from around the web in realtime. Stay ahead of the curve by using the power of Machine Learning and NLP to understand content at scale while extracting the data that matters to you.
Website: https://newsapi.aylien.com/
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This notebook fetches data points from
time_series
endpoint of AYLIEN News API and draws a trend chart to illustrate when is the best time to publish an story, article or news. Works with Python 2.x and 3.x.Demo: http://notebooks.aylien.com/newsapi/publishing-patterns/
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In this notebook we explore the similarities and the differences between two journalists in how they write headlines for their articles.
Demo: http://notebooks.aylien.com/newsapi/headline-analysis/
Demos and proofs of concept for various research ideas from our researchers at AYLIEN.
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1D Generative Adversarial Network (tutorial and visualization)
In this notebook we implement a basic GAN to approximate a 1D gaussian distribution in TensorFlow.
Demo: http://notebooks.aylien.com/research/gan/gan_simple.html