Textual Data
摘要
We provide an introduction to running and applying natural language processing (NLP) techniques to a corpus of textual documents. NLP methods include tokenization, lemmatization, and part-of-speech tagging. Using the automatically tagged data, techniques such as TF-IDF, document distance, and dimensionality reduction are applied to a collection of documents.