Text Data Processing
Text Data Processing#
(Last updated: Mar 6, 2023)1
This module is about processing text data and has the following learning goals:
Goal 1: Apply the methods of text processing to large amounts of text data.
Goal 2: Preprocess text data, including tokenization, part-of-speech tagging, stemming/lemmatization, and stopword removal.
Goal 3: Extract features from text data, including topic modeling and word embeddings.
Goal 4: Reflect on how to select and tune the text processing pipeline for topic classification.
Table of Contents#
Credit: this teaching material is created by Robert van Straten under the supervision of Yen-Chia Hsu.