Description: Data Science Applications using Python and R is the second book in a series that began in 2018. This volume is dedicated to text analytics and natural language processing. Using real data, the author leads the reader through the analysis of Tweet sentiment analysis, banking product-group complaint analysis, presidential debate analysis, and more. The book covers text mining, natural language processing (NLP), vectorizing text data, discrete classifiers, bag-of-words (BOW) models, sentiment analysis, and Latent Dirichlet Allocation (LDA). The book offers complete Python and R code with detail explanations. It is designed for use with Jupyter Notebook and R Studio. It also includes notes on Python and R markdown and features full color graphics and text on heavy paper. All data sets used in the book are downloadable from GitHub. Some data can also be customized and download ed from the Federal Consumer Complaint Data Catalog. Finally, each chapter contains practice exercises.
Price: 72.48 USD
Location: fl
End Time: 2025-01-28T18:21:43.000Z
Shipping Cost: 6.99 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
Book Title: Data Science Applications using Python and R
Topic: Text analytics, analytics, natural language processing, NLP, Pyth
Genre: Business & Economics
Number of Pages: 254 Pages
Language: English
Publication Name: Data Science Applications Using Python and R : Text Analytics
Publisher: Lulu Press, Inc.
Subject: Natural Language Processing, Databases / Data Mining, Probability & Statistics / Bayesian Analysis
Publication Year: 2020
Item Height: 0.8 in
Item Weight: 27.2 Oz
Type: Textbook
Author: Jeffrey Strickland
Item Length: 9 in
Subject Area: Mathematics, Computers
Item Width: 6 in
Format: Hardcover
