Are you facing too many standard requests and questions from customers and struggling to cope with them? Are you looking for a way to expand your customer service without incurring much costs?
In my previous story, I shared how I tackled data overburden issues by creating a personal text summarizer to summarize a document.
In this story, I will show you how you can easily create a powerful chatbot to handle your growing customer requests and inquiries. I will also show you how to deploy your chatbot to a web application using Flask.
The Covid-19 pandemic has hit the world hard. Many businesses have suffered major losses due to lockdown / movement controls. To ride through this tough time, many were forced to move their businesses online. …
Have you ever had one too many reports to read and you just want a quick summary of each report? Were you ever in a situation where everybody just wanted to read a summary instead of a full-blown report?
Summarization has become a very helpful way of tackling the issue of data overburden in the 21st century. In this story, I will show you how you can create your personal text summarizer using Natural Language Processing (NLP) in Python.
Foreword: Personal text summarizer is not hard to create — a beginner can easily do it!
It’s basically a task to generate an accurate summary while maintaining key information and not losing overall meaning. …
You may often hear the term “Machine Learning (ML)”, and you may wonder how you can apply it to the datasets you have. In this post, I will show you how to get started with Machine Learning by using a sample dataset obtained from UCI Machine Learning Repository, and by answering the following top 3 questions that one curious about Machine Learning often has: