Description: Product Description : Text Analytics with Python: A Practitioner's Guide to Natural Language Processing Leverage Natural Language Processing NLP in Python and learn how to set up your own robust environment for performing text analytics This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLPYoull see how to use the latest stateoftheart frameworks in NLP coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data including both traditional statistical models and newer deep learningbased embedding models Improved techniques and new methods around parsing and processing text are discussed as well Text summarization and topic models have been overhauled so the book showcases how to build tune and interpret topic models in the context of an interest dataset on NIPS conference papers Additionally the book covers text similarity techniques with a realworld example of movie recommenders along with sentiment analysis using supervised and unsupervised techniquesThere is also a chapter dedicated to semantic analysis where youll see how to build your own named entity recognition NER system from scratch While the overall structure of the book remains the same the entire code base modules and chapters has been updated to the latest Python 3x releaseWhat Youll Learn Understand NLP and text syntax semantics and structure Discover text cleaning and feature engineering Review text classification and text clustering Assess text summarization and topic models Study deep learning for NLPWho This Book Is ForIT professionals data analysts developers linguistic experts data scientists and engineers and basically anyone with a keen interest in linguistics analytics and generating insights from textual data( it is an used product )
Price: 22.45 USD
Location: Houston, Texas
End Time: 2024-11-10T08:04:55.000Z
Shipping Cost: 0 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: 30 Days
Refund will be given as: Money Back
Brand: Apress
UPC: 9781484243534
MPN: 54530445
Model No: 54530445
Country of Origin: USA United States
Net Quantity/Number of Units: 1
Dimensions LxWxH - Cms: 7.01X1.58X10
ISBN-10: 1484243536
ISBN-13: 9781484243534
SKU: SONG1484243536
Edition: 2nd ed.
No. of Pages: 698
Book Title: Text Analytics with Python: A Practitioner's Guide to Natural Lan
Item Height: 10
Number of Pages: Xxiv, 674 Pages
Publication Name: Text Analytics with Python : A Practical Real-World Approach to Gaining Actionable Insights from Your Data
Language: English
Publisher: Apress L. P.
Publication Year: 2019
Subject: Intelligence (Ai) & Semantics, Databases / General, Programming Languages / Python
Type: Textbook
Item Weight: 46.2 Oz
Subject Area: Computers
Author: Dipanjan Sarkar
Item Length: 10 in
Item Width: 7 in
Format: Trade Paperback