Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification
Learn how to build a NLP multi-label classification model for predicting movie genres. This is an awesome Natural Language Processing (NLP) challenge!
A Step-by-Step NLP Guide to Learn ELMo for Extracting Features from Text
ELMo is one of the best state-of-the-art frameworks to extract features from a given text dataset. Learn how to use it in Python in this article.
A Must-Read NLP Tutorial on Neural Machine Translation – The Technique Powering Google Translate
Machine translation is one of the biggest application of NLP. It’s the core system behind Google Translate. Learn how to implement it in Python here.
Tutorial on Text Classification (NLP) using ULMFiT and fastai Library in Python
ULMFiT is essentially a method to enable transfer learning for any NLP task and achieve great results. All this, without having to train models from scratch.
An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)
Learn about Automatic Text Summarization, one of the most challenging problems in the field of Natural Language Processing (NLP), using TextRank
An NLP Approach to Mining Online Reviews using Topic Modeling (with Python codes)
Information retrieval saves us from the labor of going through product reviews one by one. In this article, we will use Topic Modeling to do this task.
Text Mining 101: A Stepwise Introduction to Topic Modeling using Latent Semantic Analysis (using Python)
Latent Semantic Analysis is a Topic Modeling technique. This article gives an intuitive understanding of Topic Modeling along with its implementation.
A Hands-On Guide to Automated Feature Engineering using Featuretools in Python
This hands-on guide covers how you can perform automated feature engineering in Python using the open source library Featuretools.
Comprehensive Hands on Guide to Twitter Sentiment Analysis with dataset and code
The task is to detect hate speech in tweets using Sentiment Analysis. In this tut, we will follow a sequence of steps needed to solve a sentiment analysis
