How to extract texts from PDF file and search keywords from extracted text in Python

How to extract texts from PDF file and search keywords from extracted text in Python

How to extract texts from PDF file and search keywords from extracted text in Python. In this tutorial i am going to explain how we can extract texts from PDFs first and then how can we gather required information so that we can save our time. We can do that by setting keywords and then we can focus on those sentences that have our keywords.

Introduction

PDF or Portable Document File format is one of the most common file formats in today’s time. It is widely used across every industry such as in government offices, healthcare, and even in personal work. As a result, there is a large unstructured data that exists in PDF format. The major challenge we face to extract desired data from these unstructured data.

There can be many ways to play around and extract required information from pdf, In this tutorial i am going to explain how we can extract texts from PDFs first and then how can we gather required information so that we can save our time.We can do that by setting keywords and then we can focus on those sentences that have our keywords.

Let’s Begin:

There are many libraries we have in python that can be used in extracting texts from PDFs, in this tutorial i will be using PYPDF2.

data-analysis pdf python data-science data-analytics

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Applied Data Science with Python Certification Training Course -IgmGuru

Master Applied Data Science with Python and get noticed by the top Hiring Companies with IgmGuru's Data Science with Python Certification Program. Enroll Now

Exploratory Data Analysis is a significant part of Data Science

Data science is omnipresent to advanced statistical and machine learning methods. For whatever length of time that there is data to analyse, the need to investigate is obvious.

Python For Data Science | Python For Data Analysis

Python for Data Science, you will be working on an end-to-end case study to understand different stages in the data science life cycle. This will mostly deal with "data manipulation" with pandas and "data visualization" with seaborn. After this, an ML model will be built on the dataset to get predictions. You will learn about the basics of the sci-kit-learn library to implement the machine learning algorithm.

50 Data Science Jobs That Opened Just Last Week

Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

An introduction to exploratory data analysis in python

Many a time, I have seen beginners in data science skip exploratory data analysis (EDA) and jump straight into building a hypothesis function or model. In my opinion, this should not be the case.