We are going to learn practical NLP while building a simple knowledge graph from scratch. As Google, Bing, and other search engines use Knowledge Graphs to encode knowledge and enrich search ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind ...

In his excellent tutorial on NLP using Python, DJ Sarkar lays out the standard workflow: Text pre-processing -> Text parsing and exploratory data analysis -> Text representation and feature ...

Python’s popularity in the data science and machine learning communities, combined with the ease of use and extensive documentation of NLTK, has made it a go-to choice for many NLP projects.

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques ...

Phrases, sentences, and sometimes entire books are fed into ML engines where they’re processed using grammatical rules, people’s real-life linguistic habits, and the like. An NLP algorithm ...