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Machine Learning Solutions

You're reading from Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788390040

Length 566 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (19) Chapters

Machine Learning Solutions

Foreword

Contributors

Preface

1. Credit Risk Modeling

2. Stock Market Price Prediction FREE CHAPTER

3. Customer Analytics

4. Recommendation Systems for E-Commerce

5. Sentiment Analysis

6. Job Recommendation Engine

7. Text Summarization

8. Developing Chatbots

9. Building a Real-Time Object Recognition App

10. Face Recognition and Face Emotion Recognition

11. Building Gaming Bot

List of Cheat Sheets

Strategy for Wining Hackathons

Index

Testing the rule-based chatbot

In this section, we will test the basic version of the chatbot. Let's begin with basic personal information that the chatbot asks for from the user. Here, I will generate the JSON response generated by the flask RESTful API. We need a JavaScript to parse this JSON response if we are integrating these APIs with the frontend. I won't explain the frontend integration part here, so let's analyze the JSON responses.

For the welcome message, refer to the following screenshot:

Figure 8.13: JSON response for the welcome message

The JSON response when the chatbot is asking for the name of a user is given in the following figure:

Figure 8.14: JSON response for asking the name of the user

If the user asks for the status of his application, then they will get the JSON response given in the following figure:

Figure 8.15: JSON response to get status-related information

If the user asks status-related questions with a blend of Hindi-English (Hinglish) and if they use the word status...

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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