Boost Performance of Text Classification tasks with Easy Data Augmentation by Satyam Kumar via @TDataScience

Text data augmentation for NLP tasks.

Interesting thoughts and definitely something to try.

5 Lesser-Known Python Libraries for Your Next NLP Project by Michael Markin via @TDataScience

With code examples and explanations.

Very clear and very easy to understand - definitely something to read through especially if you do intend to do anything around NLP.

How Can Artificial Intelligence Improve Health Care? by Emily Newton via @Datafloq

Artificial intelligence (AI) benefits numerous industries by providing insights that would take too long or may otherwise be impossible to get through other methods. That additional information is crucial in the health care sector, where professionals regularly make critical decisions while diagnosing a patient, treating their ailments or helping them manage chronic symptoms. Here are some fascinating ways that applying AI in health care brings benefits to everyone involved.

It's always great to remember some of the good things that AI does amid all of the hysteria or hype. This technology could do with more positive stories showing how it has improved our world or our health.

Labelling Data Using Snorkel by Alister D’Costa and others at NLP4H via @kdnuggets

In this tutorial, we walk through the process of using Snorkel to generate labels for an unlabelled dataset. We will provide you with examples of basic Snorkel components by guiding you through a real clinical application of Snorkel.

This was really interesting and could be a way to save time in the long run.

WEBINAR: Ask Data: Simplifying Analytics with Natural Language - 14 February 2019

Ask Data: Simplifying Analytics with Natural Language Join us for this latest DSC Webinar on February 14th, 2019 What if you could directly ask questions of your data? Ask Data, Tableau’s new natural language capability, allows people to get insights by simply conversing with their data. In this latest Data Science Central webinar, members of Tableau’s Ask Data team will demonstrate how they are lowering the barrier to analytics and leveraging Natural Language Processing (NLP) as a tool for visual analysis. Looking to quickly make smarter, data-informed decisions and empower others to do the same? Watch this detailed overview of Ask Data’s capabilities to learn more. Speakers: Samantha Kwok, Senior Manager, Engineering -- Tableau Ruhaab Markas, Senior Product Manager -- Tableau Hosted by: Bill Vorhies, Editorial Director -- Data Science Central   Title:  Ask Data: Simplifying Analytics with Natural Language Date:  Thursday, February 14th, 2019 Time:  9:00 AM - 10:00 AM PST

Register here

How natural language processing can transform business intelligence by Alberto Pan via @infomgmt

NLP has the potential to enable true self-service BI by seamlessly translating spoken commands into SQL or any other technical query language. 

I great read which I really enjoyed.

The Main Approaches to Natural Language Processing Tasks by Matthew Mayo via @kdnuggets

Let's have a look at the main approaches to NLP tasks that we have at our disposal. We will then have a look at the concrete NLP tasks we can tackle with said approaches.

Good lists of approaches with examples that are useful for both the learner and the more experienced practitioner to keep on hand to remind you or them all.

The neural history of natural language processing by Sebastian Ruder via @_aylien

Here's a review of the last 15 years of natural language processing (NLP) research.

I love this and think it is worth a read if only to remind yourself on how far we have already come and that judging from the pace of change great things are always possible and coming at some point in the future.

WEBINAR: Combining Human Intelligence with ML for NLP and Speech - 17 May 2018

Overview

Title: Combining Human Intelligence with Machine Learning for NLP and Speech

Date: Thursday, May 17, 2018

Time: 09:00 AM Pacific Daylight Time

Duration: 1 hour

Summary

Combining Human Intelligence with Machine Learning for NLP and Speech

Executing successful Natural Language Processing (NLP) and Speech projects in the real world is complicated. It is often difficult to find the right volume of raw data to annotate, especially if some categories/words/topics are very rare in the data. It is also difficult to find and manage the right people to annotate, transcribe or create the data, especially when the use case requires domain expertise or certain languages and accents.

Join this latest Data Science Central webinar and learn how to incorporate better active learning and annotation strategies into your NLP projects to achieve better in your NLP and Speech applications.  This webinar will include a brief demo of the Figure Eight platform to show how to generate high-quality, human-annotated training data and incorporate that training data into human-in-the-loop machine learning systems that you can run in your own environment.

Speaker:

Robert Munro, Chief Technology Officer -- Figure Eight

Hosted by:
Bill Vorhies, Editorial Director -- Data Science Central

Register here

How to win Kaggle competition based on NLP task, if you are not an NLP expert by Artem Farazei via @indatalabs

Here is how he got one of the best results in a Kaggle challenge remarkable for a number of interesting findings and controversies among the participants.

This is great for a number of reasons. I like the way it tries to teach you another way of ooking at the problem and yet when you read this it seems so obvious.

How Conversational AI Will Change Customer Service by @VanRijmenam via @Datafloq

By 2020, approximately 20.4 billion devices are estimated to be connected to the internet. These IoT devices are getting smarter, connecting to intelligent applications, such as Amazon's Alexa or Apple's Siri, and helping consumers make transactions and complete tasks. However, they are also sparking conversational AI, and it stands to change customer service. Explore conversational AI, its benefits and challenges, and how it will help change customer service.

I love the fact that there are examples with real companies in this to help you have a context for it. I think this helps companies, customers and evn us as the consumer as it all feeds into the likes of Alexa and Siri.

10 Artificial Intelligence (AI) Technologies that will rule 2018 by Biplab Ghosh via Knowstartup

Artificial Intelligence is changing the way we think of technology. It is radically changing the various aspects of our daily life. Companies are now significantly making investments in AI to boost their future businesses.

Great list of technologies that if you have not experienced them yet then you will experience them soon in your working life.

Alternative Data and Machine Learning by @noelbambrick via @_aylien

The landscape of data is ever-changing, meaning analysts need to evolve both their thinking and data collection methods to stay ahead of the curve. In many cases, data that might have been considered unique, uncommon or unattainably expensive just a few years ago is now widely used and often very affordable.

I love this blog from Aylien. It gives great examples of Alternative Data and the way it can be used. No one can read this without understanding and grasping the possibilities.

WEBINAR: A Natural Language Processing (NLP) Approach to Data Exploration - 31 January 2017

Overview

Title: A Natural Language Processing (NLP) Approach to Data Exploration

Date: Tuesday, January 31, 2017

Time: 09:00 AM Pacific Standard Time

Duration: 1 hour

Summary

A Natural Language Processing (NLP) Approach to Data Exploration

What if you could directly ask questions of your data and the software could respond with a selection, filter, or new visualization? In this DSC webinar, the Tableau Research team explains natural language queries and how they are (already) helping you visualize your data. This presentation includes an introduction to natural language processing (NLP), examples of how NLP is already used in Tableau's geocoding and map search, and a demonstration of some research prototypes that you might see in the not too distant future. Come participate in the discussion and tell us what things you would say to or ask your visualization!

Speakers:
Vidya Setlur, --  Senior Research Scientist -- Tableau 
Melanie Tory,  --  Senior Research Scientist -- Tableau 

Hosted by: 

Bill Vorhies, Editorial Director -- Data Science Central

  

Register here