October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Advanced chatbots using NER
We just created a very basic chatbot that can understand the user's query and then respond to the customer accordingly. But it is not yet capable of understanding the context, because it can not extract information such as the product name, places, or any other entities.
To build a bot that understands the context (intent) and can also extract the entities, we need an NLP pipeline that can perform intent classification, along with NER extraction, and then provide an accurate response.
Keep your eyes on the goal! This is the goal of our open-domain question answering bot.
To do that, we will use an open source project called Rasa NLU (https://github.com/RasaHQ/rasa_nlu).
Rasa NLU is a Natural Language Understanding ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.