Natural language processing recipes : (Record no. 738370)

MARC details
000 -LEADER
fixed length control field 02516cam a22002535i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781484242674
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--AUTHOR NAME
Personal name Kulkarni, Akshay
245 10 - TITLE STATEMENT
Title Natural language processing recipes :
Sub Title unlocking text data with machine learning and deep learning using Python /
Statement of responsibility, etc by Akshay Kulkarni and Adarsha Shivananda.
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Bangalore :
Name of publisher Apress,
Year of publication c.2021
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 online resource (XXV, 234 pages 54 illustrations)
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Extracting the data -- Chapter 2: Exploring and processing text data -- Chapter 3: Converting text to features -- Chapter 4: Advanced natural language processing -- Chapter 5: Implementing Industry Applications -- Chapter 6: Deep learning for NLP.
520 ## - SUMMARY, ETC.
Summary, etc Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You'll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, parsing, text summarization, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing. By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. You will: Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural language generation problems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer programming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Open source software.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python (Computer program language).
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Open Source.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Python.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shivananda, Adarsha,
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Computer Science Dept. of Computer Science 04/09/2024 006.3 KUL/N DCS5134 04/09/2024 Book