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Natural Language Processing
Sentiment Analysis in R Made Simple

Sentiment Analysis in R Made Simple

ModelingNLP/Text AnalyticsRNatural Language ProcessingRsentiment analysisposted by Daniel Gutierrez, ODSC October 24, 2018

Sentiment analysis is located at the heart of natural language processing, text mining/analytics, and computational linguistics. It refers to any measurement technique by which subjective information is extracted from textual documents. In other words, it extracts the polarity of the expressed sentiment in a range spanning... Read more

Using The Newspaper Library to Scrape News Articles

Data WranglingModelingNLP/Text AnalyticsToolsTools & LanguagesNatural Language Processingposted by George McIntire, ODSC October 12, 2017

This post is the first of a two-part series in which we apply NLP techniques to analyze articles about big data, data science, and AI. If you are tired of the hassles of web scraping, then this post might be just for you. I occasionally web scrape news... Read more
Multi-Task Learning Objectives for Natural Language Processing

Multi-Task Learning Objectives for Natural Language Processing

ModelingNLP/Text AnalyticsNatural Language Processingposted by Sebastian Ruder October 3, 2017

In a previous blog post, I discussed how multi-task learning (MTL) can be used to improve the performance of a model by leveraging a related task. Multi-task learning consists of two main components: a) The architecture used for learning and b) the auxiliary task(s) that are trained... Read more
Enhancing Customer Experience with Natural Language Processing

Enhancing Customer Experience with Natural Language Processing

ModelingNLP/Text AnalyticsNatural Language Processingposted by Andrew Prokop September 18, 2017

Processing language into actionable components is the future of communication. If you talk to a man in a language he understands, that goes to his head. If you talk to him in his language, that goes to his heart. — Nelson Mandela I would venture to... Read more

If I loved Natural Language Processing less, I might be able to talk about it more

BlogNLP/Text AnalyticsNatural Language Processingposted by Julia Silge July 16, 2017

In my last post, I did some natural language processing and sentiment analysis for Jane Austen’s most well-known novel, Pride and Prejudice. It was just so much fun that I wanted to extend some of that work and compare across her body of writing. I decided... Read more
Stupid word games

Stupid word games

BlogNLP/Text AnalyticsNatural Language Processingposted by Thomas Lumley July 8, 2017

Today, Jeroen Ooms announced the appearance on CRAN of an R package for language detection, wrapping the “CLD2″ compact language detector.   Obviously, given a tool like that on a holiday long weekend, my first reaction was to try to confuse it. Two fun games to play with... Read more
You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing

You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing

BlogNLP/Text AnalyticsNatural Language Processingposted by Julia Silge May 10, 2017

It is a truth universally acknowledged that sentiment analysis is super fun, and Pride and Prejudice is probably my very favorite book in all of literature, so let’s do some Jane Austen natural language processing. Project Gutenberg makes e-texts available for many, many books, including Pride... Read more
Intro to Natural Language Processing

Intro to Natural Language Processing

BlogNatural Language Processingposted by Lesley Cordero, ODSC Data Science Team July 11, 2016

Table of Contents 0.0 Setup 0.1 Python and Anaconda 0.2 Libraries 0.3 Other 1.0 Background 1.1 What is NLP? 1.2 Why is NLP Important? 1.3 Why is NLP a “hard” problem? 1.4 Glossary 2.0 Sentiment Analysis 2.1 Preparing the Data 2.1.1 Training Data 2.1.2 Test Data... Read more

Google SyntaxNet

BlogNLP/Text AnalyticsPlatformsToolsNatural Language Processingposted by Gordon Fleetwood June 21, 2016

Google’s TensorFlow framework spread like wildfire upon its release. The slew of tutorials and extensions made an already robust ecosystem even more so. Recently, Google released one of their own extensions. It’s called SyntaxNet, a TensorFlow based syntactic parser for Natural Language Understanding. SyntaxNet uses neural... Read more
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