D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, …

D-Lab's introduction to text analysis with Python. Learn how to preprocess text data, apply bag-of-words methods, engage with word embeddings, and more, using Python. Resources

Mar 21, 2024 · We explore fundamental approaches to applying computational methods to text in Python. We cover some of the major packages used in natural language processing, including …

Welcome to the Digital Scholarship Lab introduction to Text Analysis with Python class. In this class we'll learn the basics of text analysis: parsing text; analyzing the text; We'll...

Natural Language Toolkit (NLTK) is a leading platform for building Python programs to work with human language data (Natural Language Processing). It is accompanied by a book that …

In this workshop, we'll focus fundamental approaches to applying computational methods to text in Python. We'll cover some of the major packages used in natural language processing, …

Aug 23, 2016 · Students will learn the basics of cleaning, transforming, and formatting text data. They will build corpora, pull specific elements out of text strings, and pull simple metrics from …

Welcome to the Digital Scholarship Lab introduction to Text Analysis with Python class. In this class we’ll learn the basics of text analysis: parsing text analyzing the text We’ll use our own …

Find and prepare texts for analysis, tore, access, and document their text objects and data. Discuss their corpus-building decisions and textual data in ways that are methodologically and …

May 23, 2016 · Each session will explore a published literary study that has used computational evidence along with close reading. Specifically, we will look at code and practice exercises …