-
Course
Natural Language Processing, 2nd Edition
Published by Pearson (October 27, 2021)
ISBN-13: 9780137670185
Product Information
Natural Language Processing covers the fundamentals of Natural Language Processing in a simple and intuitive way, empowering you to add NLP to your toolkit. Using the powerful NLTK package, it gradually moves from the basics of text representation, cleaning, topic detection, regular expressions, and sentiment analysis before moving on to the Keras deep learning framework to explore more advanced topics such as text classification and sequence-to-sequence models. After successfully completing these lessons you'll be equipped with a fundamental and practical understanding of state-of-the-art Natural Language Processing tools and algorithms.
Introduction
Lesson 1: Text Representation
Lesson 2: Text Cleaning
Lesson 3: Named Entity Recognition
Lesson 4: Topic Modeling
Lesson 5: Sentiment Analysis
Lesson 6: Text Classification
Lesson 7: Sequence Modeling
Lesson 8: Applications
Summary
Bruno Gonçalves is currently a Head of Data Science working at the intersection of AI, Blockchain Technologies, and Finance. Previously, he was a Data Science Fellow at NYU's Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. Since the completion of his PhD in the Physics of Complex Systems in 2008, he has pursued the use of Data Science and Machine Learning to the large-scale study of human behavior. In 2015, he was awarded the Complex Systems Society's Junior Scientific Award for "outstanding contributions in Complex Systems Science," and in 2018 he was named a Science Fellow of the Institute for Scientific Interchange in Turin, Italy.