Text classification with preprocessed text: Movie reviews

Text classification with Preprocessed Text

Here's a notebook that uses tf.keras to analyze the IMDB movie review dataset to train a sentiment analysis classifier. This notebook uses tf.keras, a high-level... Details
Vectoring Words

Vectoring Words

Computerphile asks “How do you represent a word in AI?” Rob Miles reveals how words can be formed from multi-dimensional vectors - with some unexpected... Details
Three Methods of Data Pre-Processing for Text Classification

3 Methods of Data Pre-Processing for Text Classification

Here's a great article on three techniques for pre-processing raw text input for use in text classification/natural language processing applications. Modern neural networks cannot interpret... Details
Language Learning with BERT

Language Learning with BERT

Martin Andrews talks about the basics of BERT for NLP at the TensorFlow and Deep Learning Singapore Meetup. Event Page: https://www.meetup.com/TensorFlow-and-Deep-Learning-Singapore/events/256431012/ Details
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Yannic Kilcher investigates BERT and the white paper associated with it https://arxiv.org/abs/1810.04805 Abstract:We introduce a new language representation model called BERT, which stands for Bidirectional... Details
OpenAI’s GPT-2 Text Generator

OpenAI’s GPT-2 Text Generator

Two Minute Papers explores OpenAI’s GPT2 Check out this GPT-2 implementation too (thanks Robert Miles for the link!) - write something, then tab, enter, tab,... Details
Doing NLP in ML.NET – Removing Stop Words in Text Data

Doing NLP in ML.NET – Removing Stop Words in Text Data

Jon Wood  has just posted this video on how to use ML.NET to remove stop words in text data. Code is at - https://github.com/jwood803/MLNetExamples/blob/master/MLNetExamples/StopWords/Program.cs Details
Natural Language Processing in ML.NET

Natural Language Processing in ML.NET

Jon Wood has another great video on ML.NET, this time focusing on Tokenizing Text Data as part of an NLP. Details
Regina Barzilay on Deep Learning for Cancer Diagnosis and Treatment

Regina Barzilay on Deep Learning for Cancer Diagnosis and Treatment

Regina Barzilay is a professor at MIT and a world-class researcher in natural language processing and applications of deep learning to chemistry and oncology, or... Details
Speeding Up Image Embedding Model in Bing Semantic Precise Image Search with the ONNX Runtime

Speeding Up Image Embedding Model in Bing Semantic Precise Image Search with the ONNX Runtime

Accelerate and optimize machine learning models regardless of training framework using ONNX and ONNX Runtime. This episode introduces both ONNX and ONNX Runtime and provides... Details