10 Notable Frameworks for NLP
Natural Language Processing hit its big stride back in 2017 with the introduction of Transformer Architecture from Google. State of the art approaches helped bridge the gap between humans and machines and helped us build bots capable of using human language undetected. It’s an exciting time.... Read more
7 Top Data Science Trends in 2020 to Be Excited About
As a practicing data scientist, educator, and tech journalist, I automatically have three big motivations for keeping a constant pulse of the industry. Staying in tune with what’s happening, consuming all the news from the movers and shakers, and evaluating new and updated tools as they... Read more
Web Scraping News Articles in Python
This article is the second of a series in which I will cover the whole process of developing a machine learning project. If you have not read the first one, I strongly encourage you to do it here. The project involves the creation of a real-time web application that gathers data... Read more
State-of-the-Art Natural Language Understanding at Scale
For many of you in data science, natural language processing is a critical component of your projects. David Talby of Pacific.ai is here to introduce Apache Spark’s new NLP library and outline how it can facilitate your NLP pipeline for higher accuracy and faster results using... Read more
What Businesses Should Know About Speech Technologies
One of the top workshops at ODSC West last year (2018) was a talk by Omar Tawakol, the founder of Voicea. His company created a voice assistant that transformed meetings by handling lower order tasks like note-taking. Cisco acquired Voicea, most likely to integrate it into... Read more
Do Android Composers Dream of Electric Keyboards?
Editor’s Note: If you’re interested in the idea of AI with a dream of electric keyboards, see Joseph’s talk “The Soul of a New AI” at ODSC Europe 2019. My journey in AI begins with grammar. Raised in a mathematical home, I think I was discovering... Read more
Watch: State of the Art Natural Language Understanding at Scale
Natural language understanding is a key component in many data science systems that must understand or reason about text. Common use cases include question answering, paraphrasing or summarization, sentiment analysis, natural language BI, language modeling, and disambiguation. Building such systems usually requires combining three types of... Read more
Watch: Understanding Unstructured Data with Language Models
As data scientists, we’ve seen a rapid improvement in the last decades in the tools available for working with structured data (be it tabular data, graph data, sensor data etc.). Yet, the vast majority of our data (Merrill Lynch puts the figure at roughly 90%) is... Read more
20 Open Datasets for Natural Language Processing
Natural language processing is a significant part of machine learning use cases, but it requires a lot of data and some deftly handled training. In 25 Excellent Machine Learning Open Data Sets, we listed Amazon Reviews and Wikipedia Links for general NLP and the Standford Sentiment... Read more
The Most Exciting Natural Language Processing Research of 2019 So Far
The data revolution isn’t just about numbers, as researchers are teaching machines how to process natural language as data. The evolving capacity that machines have to interpret human speech, whether written or spoken, opens new possibilities for the interactions between computers and people. Below, we have... Read more