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所在平台: Udemy |
课程主页: https://www.udemy.com/course/natural-language-processing-made-easy-using-python/
课程评论：没有评论
课程总结：自然语言处理与文本挖掘（Python初学者专用） 本课程旨在帮助初学者了解自然语言处理（NLP）算法的工作原理，以及如何将其应用于解决数据科学问题。课程由拥有近十年经验的专业数据科学家设计和编排，旨在让学员在解决实际数据科学问题的同时，理解NLP的基本概念。课程结构经过验证，确保学员在学习过程中保持兴趣并乐于参与。 课程内容分为三个主要部分： 第一节：介绍NLP和文本挖掘的基础知识，学习NLTK工具包，并掌握如何准备非结构化数据以便进一步处理。 第二节：通过案例研究和实践环节，了解情感分析的基本原理。 第三节：教授文档分类的知识，使用多种机器学习算法进行实践。 课程特点包括丰富的实验室环节，提供了学习和自主实践的机会。每节课开始时提供Python代码、数据集、ipython笔记本及其他支持资料，供学员下载和使用。 总之，这是一个适合绝对初学者的课程，通过动手实践和案例学习，帮助学员掌握自然语言处理和文本挖掘的基本技能。
Want to know how NLP algorithms work and how people apply it to solve data science problems? You are looking at right course!This course has been created, designed and assembled by professional Data Scientist who have worked in this field for nearly a decade. We can help you to understand the NLP while keeping you grounded to the implementation on real and data science problems.We are sure that you will have fun while learning from our tried and tested structure of course to keep you interested in what coming next.Here is how the course is going to work:Session 1: Get introduced to NLP and text mining basics, NLTK package and learn how to prepare unstructured data for further processing.Session 2: Lets you understand sentimental analysis using a case study and a practice session.Session 3: Teaches you document categorization using various machine learning algorithms.Features: Fully packed with LAB Sessions. One to learn from and one to do it by yourself. Course includes Python code, Datasets, ipython notebook and other supporting material at the beginning of each section for you to download and use on your own.
