國立虎尾科技大學 |

Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning using Python /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Natural Language Processing Recipes/ by Akshay Kulkarni, Adarsha Shivananda.
其他題名:	Unlocking Text Data with Machine Learning and Deep Learning using Python /
作者:	Kulkarni, Akshay.
其他作者:	Shivananda, Adarsha.
面頁冊數:	XXV, 234 p. 54 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-1-4842-4267-4
ISBN:	9781484242674

Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning using Python /
Kulkarni, Akshay.

Natural Language Processing RecipesUnlocking Text Data with Machine Learning and Deep Learning using Python /[electronic resource] :by Akshay Kulkarni, Adarsha Shivananda. - 1st ed. 2019. - XXV, 234 p. 54 illus.online resource.

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.

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.

ISBN: 9781484242674

Standard No.: 10.1007/978-1-4842-4267-4doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Natural Language Processing Recipes = Unlocking Text Data with Machine Learning and Deep Learning using Python /
LDR:03068nam a22003855i 4500 001 1006846
003 DE-He213
005 20200701224120.0
007 cr nn 008mamaa
008 210106s2019 xxu| s |||| 0|eng d
020 $a 9781484242674 $9 978-1-4842-4267-4
024 7 $a 10.1007/978-1-4842-4267-4 $2 doi
035 $a 978-1-4842-4267-4
050 4 $a Q334-342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
100 1 $a Kulkarni, Akshay. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300494
245 1 0 $a Natural Language Processing Recipes $h [electronic resource] : $b Unlocking Text Data with Machine Learning and Deep Learning using Python / $c by Akshay Kulkarni, Adarsha Shivananda.
250 $a 1st ed. 2019.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a XXV, 234 p. 54 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a 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 $a 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 $a Artificial intelligence. $3 559380
650 0 $a Python (Computer program language). $3 1127623
650 0 $a Open source software. $3 561177
650 0 $a Computer programming. $3 527822
650 1 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Python. $3 1115944
650 2 4 $a Open Source. $3 1113081
700 1 $a Shivananda, Adarsha. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1300495
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484242667
776 0 8 $i Printed edition: $z 9781484242681
856 4 0 $u https://doi.org/10.1007/978-1-4842-4267-4
912 $a ZDB-2-CWD
912 $a ZDB-2-SXPC
950 $a Professional and Applied Computing (SpringerNature-12059)
950 $a Professional and Applied Computing (R0) (SpringerNature-43716)