November 9, 2020 Intermediate, NLP, Project, Python, Text Leave a comment

Hands-on NLP Project: A Comprehensive Guide to Information Extraction using Python

Overview Information extraction is a powerful NLP concept that will enable you to parse through any piece of text Learn how to perform information extraction using NLP techniques in Python Introduction I’m a bibliophile – I love pouring through books in my free time and extracting as much knowledge as I can. But in today’s information overload age, the way we read stuff has changed. Most of us tend to skip the entire text, whether that’s an article, a […]

November 4, 2020 Advanced, Deep Learning, NLP, Python, Technique, Text, Unstructured Data Leave a comment

Introduction to Computational Linguistics and Dependency Trees in data science

Introduction In recent years, the amalgam of deep learning fundamentals with Natural Language Processing techniques has shown a great improvement in the information mining tasks on unstructured text data. The models are now able to recognize natural language and speech comparable to human levels. Despite such improvements, discrepancies in the results still exist as sometimes the information is coded very deep in the syntaxes and syntactic structures of the corpus. Example – Problem with Neural Networks For example, a conversation […]

October 17, 2020 Entertainment, Graphs & Networks, Intermediate, NLP, Project, Python, Technique, Text, Unstructured Data Leave a comment

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph to mine information from Wikipedia pages You will be working hands-on in Python to build a knowledge graph using the popular spaCy library Introduction Lionel Messi needs no introduction. Even folks who don’t follow football have heard about the brilliance of one of the greatest players to have graced the sport. Here’s his Wikipedia page: Quite a lot of […]