A Guide to Building an Intelligent Chatbot for Slack using Dialogflow API

Introduction

Breakthroughs in the field of Natural Language Processing (NLP) have seen a sudden rise in recent times. The amount of text data available to us is enormous, and data scientists are coming up with new and innovative solutions to parse through it and analyse patterns. From writing entire novels to decoding ancient texts, we have seen a variety of applications for NLP.

One of the most popular applications is a chatbot. Organizations like Zomato, Starbucks, Lyft, and Spotify are leveraging this technology on their website and mobile apps. As a user, we no longer need to worry about being put on hold – just type your query and the chatbot will instantly analyse the text and give the appropriate response.

Given how popular and useful these chatbots have become, I wanted to showcase how to make one. In this article, we will build a chatbot using Slack, the world’s largest communication app for teams. Then,

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