I came across a few nice applications-related posts.
Machine Learning Music Composed From Re-Synthesized Fragments From 100s Of Terabytes Of LA Phil Recordings: This posts has “a new high def version of the dazzling 3D video/AI-driven performance displayed on the Walt Disney Concert Hall last year.” AI-driven music is nothing new. About 3 years ago I showed a video of computer algorithm creating fantastic music to my students and some of them became upset!
In this week’s digest I am posting NLP related articles.
Detecting Sarcasm with Deep Convolutional Neural Networks: This article talks about a paper from 2017 that used Twitter data to build a deep learning model for sarcasm detection. I found that there is another more recent paper [PDF] that does sarcasm detection.
An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes): This is a simple tutorial that does topic modeling on online reviews.
Whenever I get time, I am going to post articles on machine learning that I read during a week. I thought today is a good day to start doing it.
Using machine learning to index text from billions of images Summary: The article describes how Dropbox built a system to index images based on the text in those images. Dropbox used TensorFlow.
Rosetta: Understanding text in images and videos with machine learning Summary: From the article - “[Rosetta] extracts text from more than a billion public Facebook and Instagram images and video frames (in a wide variety of languages), daily and in real time, and inputs it into a text recognition model that has been trained on classifiers to understand the context of the text and the image together.