Tag - Natural Language Processing

5 Fantastic Practical Natural Language Processing Resources

This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches. By Matthew Mayo, KDnuggets. comments Are you interested in some practical natural language processing resourc...

A Framework for Approaching Textual Data Science Tasks

Although NLP and text mining are not the same thing, they are closely related, deal with the same raw __data available today, and enormous amounts of it are being created on a daily basis, ranging from structured to semi-structured to fully unstructu...

AIA Group: Natural Language Processing (NLP) Engineer

Responsible for leveraging ML and Natural Language Processing (NLP) techniques to build solutions to better insurance processes and business model benefiting both internal and external stakeholders and creating the next generation insurance platform....

Data Science starts with data cleaning.

Regex was taking 5 days to run. So I built a tool that did it in 15 minutes. When developers work with text, they often need to clean it up first. Sometimes it’s by replacing keywords. Like replacing “Javascript” with “JavaScript”. Other times, we ju...

Deep Learning Research Review: Natural Language Processing

This edition of Deep Learning Research Review explains recent research papers in Natural Language Processing (NLP). If you don't have the time to read the top papers yourself, or need an overview of NLP with Deep Learning, this post is for you. By Ad...

Deep Misconceptions About Deep Learning

I hope to clarify some processes to attack DL problems and also discuss why it performs so well in some areas such as Natural Language Processing (NLP), image recognition, and machine-translation while failing at others. comments By Jesse Moore, Self...

Defining fake news

I trained fake news detection AI with >95% accuracy, and almost went crazy tl;dr — We made a fake news detector with above a 95% accuracy on (a validation set) that uses machine learning and Natural Language Processing that you can download here. In...

Efficient Graph-based Word Sense Induction

This paper describes a set of algorithms for Natural Language Processing (NLP) that match or exceed the state of the art on several evaluation tasks, while also being much more computationally efficient. comments Efficient Graph-based Word Sense Indu...

Free resources to learn Natural Language Processing

An extensive list of free resources to help you learn Natural Language Processing, including explanations on Text Classification, Sequence Labeling, Machine Translation and more. comments By Muktabh Mayank, ParallelDots. Natural Language Processing (...