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所在平台: Udemy |
课程主页: https://www.udemy.com/course/text-mining-and-sentiment-analysis-with-tableau-and-r/
课程评论：没有评论
课程名称：使用 Tableau 和 R 的文本挖掘与情感分析 课程概述： 本课程旨在帮助学员从 Twitter 中提取有价值的信息，适用于营销、金融、学术研究等多个领域。通过情感分析，您可以了解某一搜索词（如产品、人物、地区或公司）在社交媒体上的公众情绪是正面还是负面。课程结合了 R 和 Tableau 的优势，前者用于数据抓取、清洗与分析，后者则擅长数据可视化，从而实现对 Twitter 数据的深入分析。这种方法将两者的优势结合起来，为数据分析提供了理想的解决方案。 课程内容和结构： **R 部分：** 1. 注册 Twitter 开发者账户 2. 将 Twitter 与 R 连接 3. 获取所需的软件包 4. 抓取 Twitter 推文并加载到 R 中 5. 根据语言、时间、用户或地理位置优化抓取方法 6. 处理 Twitter 元数据（如喜欢数、转发数、时间线、用户等） 7. 文本清洗 8. 使用简单的词典方法进行情感评分（仅限英语） 9. 导出数据（csv格式）以便后续在 Tableau 中使用 **Tableau 部分：** 1. 数据可视化准备 2. 快速数据探索 3. 仪表盘制作 4. 可视化不同产品的受欢迎程度 5. 可视化不同地区的热门程度 6. 可视化受欢迎程度随时间的变化 前提条件： 学员只需具备基本的 R 编程技能。课程中推荐使用 Tableau 的免费版本（Tableau Public Desktop），全日制大学生还可以申请免费的 Tableau Desktop Professional 完整版本。课程将提供可直接复制到 R 会话中的 R 代码。 **免责声明：**“TWITTER, TWEET, RETWEET 和 Twitter 标志是 Twitter, Inc 或其附属公司的商标。”
Extract valuable info out of Twitter for marketing, finance, academic or professional research and much more. This course harnesses the upside of R and Tableau to do sentiment analysis on Twitter data. With sentiment analysis you find out if the crowd has a rather positive or negative opinion towards a given search term. This search term can be a product (like in the course) but it can also be a person, region, company or basically anything as long as it is mentioned regularly on Twitter. While R can directly fetch the text data from Twitter, clean and analyze it, Tableau is great at visualizing the data. And that is the power of the method outlined in this course. You get the best of both worlds, a dream team. Content overview and course structure: The R Side Getting a Twitter developers account Connection of Twitter and R Getting the right packages for our approach Harvesting Tweets and loading them into R Refining the harvesting approach by language, time, user or geolocation Handling Twitter meta data like: favorites, retweets, timelines, users, etc Text cleaning Sentiment scoring via a simple lexicon approach (in English) Data export (csv) for further Tableau work Tableau Side: Data preparation for visualizations Quick data exploration Dashboards Visualizing - Popularity of different productsPopularity between different locations on a mapChanges in popularity over time You only need basic R skills to follow along. There is a free version of Tableau called Tableau public desktop, or even better: as a full time college student you can get a free but full version of Tableau desktop professional. The course comes with the R code to copy into your R session. Disclaimer required by Twitter: 'TWITTER, TWEET, RETWEET and the Twitter logo are trademarks of Twitter, Inc or its affiliates.'
