In today’s fast-paced digital world, redacting sensitive information from PDF documents is an important task. Whether it’s removing personal information or replacing sensitive text with asterisks, the process can be time-consuming and manual. But what if you could automate the redaction process using Python?
With PyPDF2, OpenCV, and fpdf libraries, you can! In this step-by-step guide, we will show you how to remove or replace text in a PDF with Python.
Unleash the Power of FastText for Text Classification with Python!
Get ready to tackle any text classification task with ease, from sentiment analysis to spam filtering, and everything in between.
FastText is a fast, efficient, and easy-to-use library that makes text classification a breeze. Say goodbye to complicated models and hello to accurate predictions with FastText and Python!
Discover the power of fastText and Python in accurately detecting the language of text. In this blog post, we explore the built-in language detection system of fastText and how it can be implemented in Python. With code examples and practical insights, you’ll learn how to train and use a language detection model with fastText. Whether you’re a beginner or an experienced practitioner in NLP, fastText is a must-have tool in your arsenal. Read on to learn more about accurate language detection using fastText and Python.
A few years ago, the idea of text-to-speech software would have been laughable, if not impossible. However, with deep learning and artificial neural networks on the rise, it’s quite possible to convert text to speech on your own computer. In this guide, you’ll learn how to perform text-to-speech conversion with your own Python script to make speech synthesis more natural sounding than ever before possible.
Are you struggling to install Tensorflow with GPU and jupyter notebook in your windows system? This step by step tutorial will assure you for doing that.
In this post, I will show you how to generate text using some keywords. I will use a python library that is built on top of Google Transformer model.
Recurrent neural network is a sequence model, used mainly for Natural Language Processing tasks. In this Recurrent neural network tutorial we will understand how RNN works with real numbers in excel and we will see some applications of recurrent neural network.
FastText is an NLP library developed by the Facebook research team for text classification and word embeddings. FastText is popular due to its training speed and accuracy. If you want you can read the official fastText paper. There are different frameworks of FastText: In this fastText tutorial post, I will only talk about fastText word …
Stop word removal is an basic and important technique in any Natural Language Processing task. In this tutorial I will walk you through different techniques to remove stop words from text file. What are stop words in NLP? Stop words usually are the most common words (ex: a, the, is, shall) in any language. There …
Word embedding is most important technique in Natural Language Processing (NLP). By using word embedding is used to convert/ map words to vectors of real numbers. By using word embedding you can extract meaning of a word in a document, relation with other words of that document, semantic and syntactic similarity etc. …
