Text analytics with Python : a practical real-world approach to gaining actionable insights from your data
| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000045895804 | |
| 005 | 20200226104533 | |
| 008 | 170220s2016 xx a 001 0 eng d | |
| 020 | ▼a 9781484223871 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.133 ▼2 23 |
| 084 | ▼a 005.133 ▼2 DDCK | |
| 090 | ▼a 005.133 ▼b S245t | |
| 100 | 1 | ▼a Sarkar, Dipanjan. |
| 245 | 1 0 | ▼a Text analytics with Python : ▼b a practical real-world approach to gaining actionable insights from your data / ▼c Dipanjan Sarkar. |
| 260 | ▼a [S.l.] : ▼b Apress, ▼c c2016. | |
| 300 | ▼a xxi, 385 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a Includes index. | |
| 776 | 0 8 | ▼i Online version: ▼a Sarkar, Dipanjan. ▼t Text analytics with Python : a practical real-world approach to gaining actionable insights from your data ▼z 9781484223888 ▼w (211009) 000046016741 |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.133 S245t | 등록번호 121239208 (10회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.
Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.
What You Will Learn:
- Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure
- Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews
- Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern
New feature
Derive useful insights from your data using Python. Learn the techniques related to natural language processing and text analytics, and gain the skills to know which technique is best suited to solve a particular problem.
Text Analytics with Python teaches you both basic and advanced concepts, including text and language syntax, structure, semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization.
A structured and comprehensive approach is followed in this book so that readers with little or no experience do not find themselves overwhelmed. You will start with the basics of natural language and Python and move on to advanced analytical and machine learning concepts. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems.This book:
- Provides complete coverage of the major concepts and techniques of natural language processing (NLP) and text analytics
- Includes practical real-world examples of techniques for implementation, such as building a text classification system to categorize news articles, analyzing app or game reviews using topic modeling and text summarization, and clustering popular movie synopses and analyzing the sentiment of movie reviews
- Shows implementations based on Python and several popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern
정보제공 :
저자소개
디판잔 사카(지은이)
세계 최대의 반도체 회사인 인텔에서 애널리틱스, 비즈니스 인텔리전스, 애플리케이션 개발 업무를 수행하는 IT 엔지니어다. 인도 방갈로르의 국제정보기술공대 IT 학과에서 석사 학위를 받았으며, 소프트웨어 엔지니어링, 데이터 과학, 머신 러닝, 텍스트 애널리틱스가 전문 영역이다. 새로운 기술을 배우는 것을 포함해, 혁신적인 스타트업들과 데이터 과학에 관심을 가지고 있다. 책을 읽고, 게임을 하고, 유명한 시트콤을 보는 것을 좋아한다. 팩트출판사가 펴낸 『Data Analysis with R』, 『Learning R for Geospatial Analysis』, 『R Data Analysis Cookbook』의 감수자이기도 하다.
목차
Chapter 1:Natural Language Basics Chapter 2:Python Refresher for Text Analytics Chapter 3:Text Processing Chapter 4:Text Classification Chapter 5:Text summarization and topic modeling Chapter 6:Text Clustering and Similarity analysis Chapter 7:Sentiment Analysis.-.