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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-science-nlp-and-sentimental-analysis-in-r/
课程评论：没有评论
课程名称：数据科学：R中的自然语言处理与情感分析 课程概述：在参加本课程之前请注意：该课程并不会使您成为R编程的专家，而是教授您足够的概念，以便在机器学习和自然语言处理模型中有效使用。 课程内容：在这门实践性课程中，您将学习如何使用R进行有效的数据分析和可视化，并在实际应用中利用这些数据。您将学习如何安装和配置必要的软件，以建立统计编程环境，并描述高层统计语言中的通用编程概念。我们的主要目标是帮助您不仅理解R编程语言的细节，还能学习如何成为一名专业的数据科学家，并成功找到您的第一份工作。 本课程涉及的主要主题包括： 1. R编程概念：变量、数据结构（向量、矩阵、列表、数据框）、循环、函数、dplyr包、apply()函数 2. 网页抓取：如何抓取标题和链接并存储到数据结构中 3. 自然语言处理技术：词袋模型、词频模型、逆文档频率模型 4. 情感分析：Bing和NRC词典 5. 文本挖掘 课程结束时，您将踏上成为R语言数据科学家的旅程，自信地申请工作，并清楚地知道您拥有支持这一目标的技能和知识。
Caution before taking this course:This course does not make you expert in R programming rather it will teach you concepts which will be more than enough to be used in machine learning and natural language processing models.About the course:In this practical, hands-on course you'll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.Our main objective is to give you the education not just to understand the ins and outs of the R programming language, but also to learn exactly how to become a professional Data Scientist with R and land your first job.This course covers following topics:1. R programming concepts: variables, data structures: vector, matrix, list, data frames/ loops/ functions/ dplyr package/ apply() functions2. Web scraping: How to scrape titles, link and store to the data structures3. NLP technologies: Bag of Word model, Term Frequency model, Inverse Document Frequency model4. Sentimental Analysis: Bing and NRC lexicon5. Text miningBy the end of the course you'll be in a journey to become Data Scientist with R and confidently apply for jobs and feel good knowing that you have the skills and knowledge to back it up.
