Natural Language Processing

Unleash the power of Python libraries like Gensim, NLTK, SpaCy, and Keras to solve common and not-so-common challenges faced in the NLP domain.

Build cool NLP and machine learning applications using NLTK and other Python libraries

Learn to build expert NLP and machine learning projects using NLTK and other Python libraries

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Become a Pro in Natural Language Processing

Going from a Python developer to an effective Natural Language Processing Engineer

Learn the tricks and tips that will help you design Text Analytics solutions

A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions

Over 60 effective recipes to develop your Natural Language Processing (NLP) skills quickly and effectively

Explore various approaches to organize and extract useful text from unstructured data using Java

Use Python and the Natural Language Toolkit to perform various NLP Tasks. Create Chatbots, text analyzers, classifiers, and more

Use Python and NLTK (Natural Language Toolkit) to build your own text classifiers and solve common NLP problems.

Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems.

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms.