Natural Language Processing Fundamentals

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文件名称：Natural Language Processing Fundamentals
文件大小：20.53MB
文件格式：PDF
更新时间：2022-04-30 14:43:21
自然语言处理 Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. If NLP hasn’t been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You’ll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you’ll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you’ll understand how to apply NLP techniques to answer questions as can be used in chatbots.