Want to learn deep learning for NLP but not sure where to start? This article provides the answer in the form of 8 awesome pretrained models!
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.
Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!
Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)
Introduction A common challenge I came across while learning Natural Language Processing (NLP) – can we build models for non-English languages? The answer has …
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.
Here’s a comprehensive list of books, both free and paid, that every aspiring data scientist should have in their book shelf.
What a year it has been for data science. Here’s our pick of the best and most popular articles that were published on Analytics Vidhya in 2018.
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.
Learn about Automatic Text Summarization, one of the most challenging problems in the field of Natural Language Processing (NLP), using TextRank
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.