{"product_id":"natural-language-annotation-for-machine-learning-a-guide-to-corpus-building-for-applications-9781449306663","title":"Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications","description":"\u003cp\u003e • Author(s): James Pustejovsky | Amber Stubbs\u003cbr\u003e • Publisher: O'Reilly Media\u003cbr\u003e • Publisher Imprint: O'Reilly Media\u003cbr\u003e • BISAC: Data Modeling \u0026amp; Design\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eCreate your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle--the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started. \u003c\/p\u003e\u003cp\u003eUsing detailed examples at every step, you'll learn how the \u003ci\u003eMATTER Annotation Development Process\u003c\/i\u003e helps you \u003cb\u003eM\u003c\/b\u003eodel, \u003cb\u003eA\u003c\/b\u003ennotate, \u003cb\u003eT\u003c\/b\u003erain, \u003cb\u003eT\u003c\/b\u003eest, \u003cb\u003eE\u003c\/b\u003evaluate, and \u003cb\u003eR\u003c\/b\u003eevise your training corpus. You also get a complete walkthrough of a real-world annotation project. \u003c\/p\u003e\u003cul\u003e \u003cli\u003eDefine a clear annotation goal before collecting your dataset (corpus) \u003c\/li\u003e\n\u003cli\u003eLearn tools for analyzing the linguistic content of your corpus \u003c\/li\u003e\n\u003cli\u003eBuild a model and specification for your annotation project \u003c\/li\u003e\n\u003cli\u003eExamine the different annotation formats, from basic XML to the Linguistic Annotation Framework \u003c\/li\u003e\n\u003cli\u003eCreate a gold standard corpus that can be used to train and test ML algorithms \u003c\/li\u003e\n\u003cli\u003eSelect the ML algorithms that will process your annotated data \u003c\/li\u003e\n\u003cli\u003eEvaluate the test results and revise your annotation task \u003c\/li\u003e\n\u003cli\u003eLearn how to use lightweight software for annotating texts and adjudicating the annotations \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eThis book is a perfect companion to O'Reilly's \u003ci\u003eNatural Language Processing with Python\u003c\/i\u003e.\u003c\/p\u003e","brand":"O'Reilly Media","offers":[{"title":"Paperback","offer_id":46862176583831,"sku":"9781449306663","price":3990.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781449306663.webp?v=1769965023","url":"https:\/\/atlanticbooks.com\/products\/natural-language-annotation-for-machine-learning-a-guide-to-corpus-building-for-applications-9781449306663","provider":"Atlantic Books","version":"1.0","type":"link"}