Ticary AI Magazine

What is Natural Language Processing (NLP)?

Last year I wrote a highly popular blog post about Natural Language Processing, Machine Learning, and Deep Learning.

In this post, we will break down NLP further and talk about Rule-Based and Statistical NLP. I will discuss why everyone needs to know about NLP and AI (Artificial Intelligence), how Machine Learning (ML) fits into the NLP space (it is indispensable actually) and how we are using it in our daily life even without knowing about it.


Author: Rutu Mulkar-Mehta
Date: 12 December 2017
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A survey of the latest chatbot API’s

Image Credit: www.martechadvisor.com

So you want to build your own chatbot, and you want to do it quickly? Well, you’re in luck; several businesses have opened up their chatbot API’s to the public, so you can use them with little to no programming experience.


Author: Rutu Mulkar-Mehta
Date: 16 November 2017
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Why are Chatbots cool, and where are they headed?

The next new wave of Artificial Intelligence is here in the form on Chatbots — which enables end users to communicate directly with machines that are programmed to converse with humans. Several message interfaces such as Facebook Messenger are perfect avenues for deploying chatbots on already existing chat frameworks.


Author: Rutu Mulkar-Mehta
Date: 16 January 2017
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Natural Language Processing vs. Machine Learning vs. Deep Learning

What is Natural Language Processing?

Natural Language Processing (or NLP) is an area that is a confluence of Artificial Intelligence and Linguistics. It involves intelligent analysis of written language. If you have a lot of data written in plain text and you want to automatically get some insights from it, you need to use NLP techniques. These insights could be - sentiment analysis, information extraction, information retrieval, search etc. to name a few.


Author: Ticary Team
Date: 08 August 2016
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Online Word2Vec for Gensim

Word2Vec [1] is a technique for creating vectors of word representations to capture the syntax and semantics of words. The vectors used to represent the words have several interesting features.

Here are a few:


Author: Rutu Mulkar-Mehta
Date: 22 August 2015
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8 life skills that I learned from Grad school

I have spent a large chunk of my life in grad school - getting my masters and Ph.D. Looking back, I feel like grad school helped me learn things that were not even on the syllabus:

Here are some life skills I learned in grad school - in no particular order


Author: Rutu Mulkar-Mehta
Date: 29 June 2015
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