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所在平台: Udemy |
课程主页: https://www.udemy.com/course/text-mining-and-natural-language-processing-in-r/
课程评论：没有评论
课程名称：R语言中的文本挖掘与自然语言处理 课程概述：您是否希望通过挖掘社交媒体获得新的洞见？您是否想利用非结构化文本和社交媒体预测趋势？过去十年，社交媒体网站如Facebook和Twitter的快速增长，使其成为信息分享和新闻传播的重要平台，社交媒体不仅捕捉了趋势，还创造了趋势。挖掘非结构化文本数据和社交媒体数据，成为了机器学习和数据科学的最新前沿。 本课程由资深数据科学家Minerva Singh教授授课，她在牛津大学获得地理与环境硕士学位，并在剑桥大学完成热带生态与保护的博士学位，拥有超过五年的实际数据分析经验。与其他理论偏重的课程不同，本课程将教授您实际技术，利用文本数据和社交媒体构建强大的预测模型。您将学习网页抓取、文本挖掘和自然语言处理，并从Twitter和Facebook等社交媒体中提取文本数据。此外，您将应用探索性数据分析和机器学习技术，从文本和社交媒体数据中获取可操作的洞察。 课程内容包括： - R语言中的数据结构与读取，包括CSV、Excel、JSON和HTML数据。 - 使用R进行网页抓取。 - 利用API从Twitter和Facebook提取文本数据。 - 从FourSquare应用提取和清理数据。 - 对文本数据进行探索性数据分析。 - 常见的自然语言处理技术，如情感分析和主题建模。 - 在文本数据上实施聚类、回归和分类等机器学习技术。 - 网络分析。 您将应用新获得的技能，完成实际的文本分析作业。课程将大部分时间集中在如何在实际数据上实施不同技术和解释结果。每个视频后，您将学习新的概念或技术，可以应用到自己的项目中。所有使用的数据和代码都将免费提供，您可以随意使用，此外，您还将免费获得未来新增的讲座内容。 立即加入课程，提升您的数据科学职业生涯，成为文本挖掘与自然语言处理的专家！
Do You Want to Gain an Edge by Gleaning Novel Insights from Social Media?Do You Want to Harness the Power of Unstructured Text and Social Media to Predict Trends?Over the past decade there has been an explosion in social media sites and now sites like Facebook and Twitter are used for everything from sharing information to distributing news. Social media both captures and sets trends. Mining unstructured text data and social media is the latest frontier of machine learning and data science. LEARN FROM AN EXPERT DATA SCIENTIST WITH +5 YEARS OF EXPERIENCE:My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation). I have several years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals. Unlike other courses out there, which focus on theory and outdated methods, this course will teach you practical techniques to harness the power of both text data and social media to build powerful predictive models. We will cover web-scraping, text mining and natural language processing along with mining social media sites like Twitter and Facebook for text data. Additionally, you will learn to apply both exploratory data analysis and machine learning techniques to gain actionable insights from text and social media data.TAKE YOUR DATA SCIENCE CAREER TO THE NEXT LEVELBECOME AN EXPERT IN TEXT MINING & NATURAL LANGUAGE PROCESSING:My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement R based data science in real life. After taking this course, you'll easily use packages like the caret, dplyr to work with real data in R. You will also learn to use the common social media mining and natural language processing packages to extract insights from text data. I will even introduce you to some very important practical case studies - such as identifying important words in a text and predicting movie sentiments based on textual reviews. You will also extract tweets pertaining to trending topics analyze their underlying sentiments and identify topics with Latent Dirichlet allocation. With this Powerful course, you'll know it all: extracting text data from websites, extracting data from social media sites and carrying out analysis of these using visualization, stats, machine learning, and deep learning! Start analyzing data for your own projects, whatever your skill level and Impress your potential employers with actual examples of your data science projects. HERE IS WHAT YOU WILL GET:Data Structures and Reading in R, including CSV, Excel, JSON, HTML data.Web-Scraping using RExtracting text data from Twitter and Facebook using APIsExtract and clean data from the FourSquare appExploratory data analysis of textual dataCommon Natural Language Processing techniques such as sentiment analysis and topic modellingImplement machine learning techniques such as clustering, regression and classification on textual dataNetwork analysisPlus you will apply your newly gained skills and complete a practical text analysis assignmentWe will spend some time dealing with some of the theoretical concepts. However, the majority of the course will focus on implementing different techniques on real data and interpreting the results.After each video, you will learn a new concept or technique which you may apply to your own projects.All the data and code used in the course has been made available free of charge and you can use it as you like. You will also have access to additional lectures that are added in the future for FREE.JOIN THE COURSE NOW!
