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How to use Machine Learning to answer questions based on PDF content
Introduction
With the rapid advancement of machine learning and natural language processing, extracting information and answering questions from textual data has become a crucial task. In this blog post, we will explore how to utilize TensorFlow.js, a JavaScript library for machine learning, to answer questions from PDF content. TensorFlow.js enables us to leverage the power of deep learning models in the browser, making it a convenient choice for web-based applications that involve text analysis.
This will be a very simple, browser app with no fancy stylings. Just to demonstrate the power of the technologies.
Prerequisites
All we need is good understanding of HTML and JavaScript. It would be a bonus if you had familiarity with machine learning concepts, particularly natural language processing (NLP) and deep learning - but not necessary.
Step 1: Setting Up the HTML
To begin, create a new directory for your project and navigate to it using the command line. Create an index.html and build a basic markup
<!DOCTYPE html>
<html>
<head>
<title>PDF Search with TensorFlow.js</title>
</head>
<body>
<h1>PDF Search with TensorFlow.js</h1>…
