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所在平台: Udemy |
课程主页: https://www.udemy.com/course/text-network-analysis-with-netminer/
课程评论：没有评论
课程名称：使用NetMiner进行文本网络分析 课程概述： 本课程旨在探索非结构化文本数据分析的领域，重点介绍如何利用NetMiner的文本网络分析功能。学员将学习分析各种文本数据（如电子邮件、新闻文章和演讲稿），运用NetMiner的强大能力。本课程提供了全面的文本网络分析理论基础，涵盖从杂乱无章的非结构化文本中提取词汇、发掘潜在主题及构建和可视化吸引人的词汇网络等内容。此外，课程还将教会学员识别关键信息的技能，提升整体分析能力。 除了理论部分，课程还包括实际练习，让学员能够将所学的技巧应用于真实数据。通过对电子邮件文本的分析，学员可以亲身体验分析方法的实际应用，从而巩固对理论知识的理解，将其转化为实际技能。 本课程内容全面，理论与实践相结合，是提升数据分析能力的宝贵资产。欢迎加入我们的学习之旅，掌握使用NetMiner进行文本网络分析的技能。 课程内容概括： 1. 使用社会网络分析(SNA)进行文本分析的概述。 2. 基础文本分析理论介绍，包括形态分析、术语频率-逆文档频率（TF-IDF）的重要性、词汇网络建模和主题建模的潜在狄利克雷分配（LDA）。 3. 运用NetMiner功能进行实际练习，包括输入文本数据、数据过滤、应用用户词典和生成词汇网络。 4. 电子邮件文本分析的实际经验，运用所学知识处理真实数据，使用恩龙电子邮件数据集。 本课程全面探讨使用NetMiner进行的文本分析，将理论理解与实践应用相结合，为学员提供良好的学习体验。
Explore the realm of unstructured text data analysis with our course focused on harnessing NetMiner's text network analysis features. Delve into the process of analyzing varied text data, such as emails, news articles, and speeches, employing the powerful capabilities of NetMiner.This course provides a comprehensive theoretical foundation for the entire text network analysis process. Learn to extract words from sprawling unstructured text data, uncover hidden topics, and construct as well as visualize engaging word networks. Further, we'll explore the critical skill of identifying key words, enhancing your overall analytical proficiency.But we don't just stop at theory. This course includes practical exercises that enable you to apply learned techniques to real-world data. Experience firsthand the application of analysis methods to data like email texts using NetMiner. This hands-on experience will solidify your understanding and facilitate the translation of theoretical knowledge into practical skills.This comprehensive course, balanced with theory and practice, is an invaluable asset for anyone seeking to bolster their data analysis abilities. Join us on this journey to mastery in text network analysis with NetMiner.The details of this course are summarized as follows:1. An overview of text analysis using Social Network Analysis (SNA).2. An introduction to basic text analysis theory, covering topics such as morphological analysis, the importance of words using Term Frequency-Inverse Document Frequency (TF-IDF), word network modeling, and Latent Dirichlet Allocation (LDA) for topic modeling.3. Practical exercises with NetMiner functions, including inputting text data, filtering data, applying a user dictionary, and generating word networks.4. Hands-on experience with email text analysis, applying what you've learned to real-world data using the Enron email dataset.This course provides a comprehensive exploration of text analysis using NetMiner, blending theoretical understanding with practical application for a well-rounded learning experience.
