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所在平台: Udemy |
课程主页: https://www.udemy.com/course/project-based-text-mining-in-python/
课程评论：没有评论
课程名称：基于项目的Python文本挖掘 课程概述：本课程主要研究文本挖掘的基础知识。内容包括将非结构化数据转换为向量的基本操作，以及从公共档案中读取不同类型数据的方法。在此基础上，我们利用自然语言处理技术对数据集进行预处理。课程还涵盖机器学习技术在文档分类、聚类及模型评估中的应用。信息提取部分通过主题建模进行讲解，情感分析则采用分类器和基于词典的方法。几乎所有模块都配有作业以便实践。此外，课程提供两个项目，利用这些模块中单独覆盖的大部分主题。最后，将提供一系列可能的项目建议，以供学生选择和构建自己的项目。
In this course, we study the basics of text mining. The basic operations related to structuring the unstructured data into vector and reading different types of data from the public archives are taught. Building on it we use Natural Language Processing for pre-processing our dataset. Machine Learning techniques are used for document classification, clustering and the evaluation of their models.Information Extraction part is covered with the help of Topic modelingSentiment Analysis with a classifier and dictionary based approachAlmost all modules are supported with assignments to practice.Two projects are given that make use of most of the topics separately covered in these modules.Finally, a list of possible project suggestions are given for students to choose from and build their own project.
