商品簡介
Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem. You’ll discover how tidy data principles can make text mining easier, more effective, and consistent by employing tools already in wide use.
Text Mining with R shows you how to manipulate, summarize, and visualize the characteristics of text, sentiment analysis, tf-idf, and topic modeling. Along with tidy data methods, you’ll also examine several beginning-to-end tidy text analyses on data sources from Twitter to NASA datasets. These analyses bring together multiple text mining approaches covered in the book.
- Get real-world examples for implementing text mining using tidy R package
- Understand natural language processing concepts like sentiment analysis, tf-idf, and topic modeling
- Learn how to analyze unstructured, text-heavy data using R language and ecosystem
作者簡介
Julia Silge is a data scientist at Datassist where her work involves analyzing and modeling complex data sets while communicating about technical topics with diverse audiences. She has a PhD in Astrophysics, as well as abiding affections for Jane Austen and making beautiful charts. Julia worked in academia and ed tech before moving into data science and discovering R.
David Robinson is a data scientist at Stack Overflow. He has a PhD in Quantitative and Computational Biology from Princeton University, where he worked with Professor John Storey on genomic analysis. He enjoys working and blogging about statistics, R programming, and text mining, including a popular analysis of Donald Trump’s twitter account (performed according to the tidy data principles described in this book).
您曾經瀏覽過的商品
購物須知
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。