عنوان

Analytics and tech mining for engineering managers /

(Number (ISBN

1606505114

(Number (ISBN

9781606505113

Erroneous ISBN

9781606505106

Title Proper

Analytics and tech mining for engineering managers /

General Material Designation

[Book]

First Statement of Responsibility

Scott W. Cunningham and Jan H. Kwakkel.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Momentum Press,

Date of Publication, Distribution, etc.

[2016]

Date of Publication, Distribution, etc.

©2016

Specific Material Designation and Extent of Item

1 online resource (1 volume) :

Other Physical Details

illustrations.

Series Title

Engineering management collection

Text of Note

Includes bibliographical references and index.

Text of Note

1. Tech mining using open source tools -- 1.1 Why this book -- 1.2 Who would be interested -- 1.3 The state of play -- 1.4 What comes next

Text of Note

2. Python installation -- 2.1 Scripts, data, and examples -- 2.2 Different versions of Python -- 2.3 Installing Python -- 2.4 Development environment -- 2.5 Packages

Text of Note

3. Python basics for text mining -- 3.1 Input, strings, and output -- 3.2 Data structures -- 3.3 Compound data structures

Text of Note

4. Sources of science and technology information -- 4.1 Collecting and downloading the data -- 4.2 Altmetrics and the supply and demand for knowledge -- 4.3 Examples used in the text

Text of Note

5. Parsing collected data -- 5.1 Reading column-structured data -- 5.2 Reading row-structured data -- 5.3 Adapting the parsers for new databases -- 5.4 Reading and parsing from a directory -- 5.5 Reading and printing a JSON dictionary of dictionaries

Text of Note

6. Parsing tree-structured files -- 6.1 Reading an XML file -- 6.2 Web scraping using BeautifulSoup -- 6.3 Mining content from PDF files

Text of Note

7. Extracting and reporting on text -- 7.1 Splitting JSONs on an attribute -- 7.2 Making a counter -- 7.3 Making simple reports from the data -- 7.4 Making dictionaries of the data -- 7.5 Counting words in documents

Text of Note

8. Indexing and tabulating the data -- 8.1 Creating a partial index of the data -- 8.2 Making dataframes -- 8.3 Creating cross-tabs -- 8.4 Reporting on dataframes

Text of Note

Conclusions -- References -- Index.

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8

8

8

8

8

8

8

8

Text of Note

This book offers practical tools in Python to students of innovation as well as competitive intelligence professionals to track new developments in science, technology, and innovation. The book will appeal to both--tech-mining and data science audiences. For tech-mining audiences, Python presents an appealing, all-in-one language for managing the tech-mining process. The book is a complement to other introductory books on the Python language, providing recipes with which a practitioner can grow a practice of mining text. For data science audiences, this book gives a succinct overview of the most useful techniques of text mining. The book also provides relevant domain knowledge from engineering management; so, an appropriate context for analysis can be created. This is the first book of a two-book series. This first book discusses the mining of text, while the second one describes the analysis of text. This book describes how to extract actionable intelligence from a variety of sources including scientific articles, patents, pdfs, and web pages. There are a variety of tools available within Python for mining text. In particular, we discuss the use of pandas, BeautifulSoup, and pdfminer.

Source for Acquisition/Subscription Address

Safari Books Online

Stock Number

CL0500000757

Data mining.

Open source software.

COMPUTERS / General

Data mining.

Open source software.

COM-- 000000

Number

Edition

Class number

Cunningham, Scott W.

Kwakkel, Jan Hendrik,1982-

Date of Transaction

20200823045414.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y