Practical Text Analytics - Advances in Analytics and Data Science
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Published By Springer International Publishing

9783319956626, 9783319956633
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Latent Semantic Analysis (LSA) in Python

2018 ◽  
pp. 221-242
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Latent Semantic Analysis ◽  
Semantic Analysis

Text Preprocessing

2018 ◽  
pp. 45-59 ◽  
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Text Preprocessing

Cluster Analysis: Modeling Groups in Text

2018 ◽  
pp. 93-115 ◽  
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Cluster Analysis

Probabilistic Topic Models

2018 ◽  
pp. 117-130 ◽  
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Topic Models ◽  
Probabilistic Topic Models

The Fundamentals of Content Analysis

2018 ◽  
pp. 15-25
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Content Analysis

Term-Document Representation

2018 ◽  
pp. 61-73
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Document Representation

Storytelling Using Text Data

2018 ◽  
pp. 167-175
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Text Data

SAS Visual Text Analytics

2018 ◽  
pp. 263-282
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Text Analytics ◽  
Visual Text

Planning for Text Analytics

2018 ◽  
pp. 27-41
Author(s):  
Murugan Anandarajan ◽  
Chelsey Hill ◽  
Thomas Nolan
Keyword(s):  
Text Analytics
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