Reader small image

You're reading from  Natural Language Processing with Python Quick Start Guide

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789130386
Edition1st Edition
Languages
Right arrow
Author (1)
Nirant Kasliwal
Nirant Kasliwal
author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal

Right arrow

Summary

In this chapter on chatbots, we learned about intent, which usually refers to the user input, response, which is via the bot, templates, which defines the nature of bot responses, and entities, such as cuisine type, in our example.

Additionally, to understand the user intent—and even find entities—we used unsupervised approaches , that is, we did not have training examples this time. In practice, most commercial systems use a hybrid system, combining supervised and unsupervised systems.

The one thing you should take away from here is that we don't need a lot of training data to make the first usable version of a bot for a specific use case.

lock icon
The rest of the page is locked
Previous PageNext Chapter
You have been reading a chapter from
Natural Language Processing with Python Quick Start Guide
Published in: Nov 2018Publisher: PacktISBN-13: 9781789130386

Author (1)

author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal