Detecting Word Types with POS Tagging, Part 2 - Manning

Take 40% off Getting Started with Natural Language Processing by entering fcckochmar into the discount code box at checkout at manning.com. In this section you learn how to automatically establish the types of relations that link meaningful words together. Listing 1. Code exemplifying how to run spaCy's processing pipeline The input to the command is a particular type of data (model) that the language tools were trained on. All models use the same naming conventions (en_core_web_), which means that it's a set of tools trained on English Web data; the last bit denotes the size of data the model was trained on, where sm stands for'small'[1] Now you know how to detect which words belong to which types. Your algorithm from Code Listing 1 is able to tell that in a sentence "On Friday, board members meet with senior managers to discuss future development of the company.",