Text Analytics: Reinforcement Learning, Analyzing Power, and Text Learning Explained

Text Analytics: Reinforcement Learning, Analyzing Power, and Text Learning Explained by David Feldspar Audiobook
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Product Info

Sounded ID: 9781982769901

ISBN: 9781982769901

Publication Date: July 31, 2019

Publisher: Author's Republic

Language: English

Author Name: David Feldspar

Narrator Name: Jason R. Gray

Studio Narrated Audiobook 2 hrs 31 mins | EDUCATION | Learning Styles

Text Analytics: Reinforcement Learning, Analyzing Power, and Text Learning Explained

Publisher
Author's Republic
Narrator
Jason R. Gray

Studio Narrated Audiobook

This audiobook is a traditionally narrated work produced in a studio with a live voice actor and contains no content generated using Voice Replica technologies or synthetic narration.

Text Analytics, 2 books:
Book 1: In a time when everyone is trying to advertise online and offline, the meaning people attach to a word can be significant. With all the unstructured data out there, and the guidance we need to take texts apart and look at them from a logical perspective, analyzing skills have become mandatory to any individual working in marketing, text content creation, or otherwise.
Book 2: Dive deeper into the world of mining for or analyzing text. Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in sp...

Text Analytics, 2 books:
Book 1: In a time when everyone is trying to advertise online and offline, the meaning people attach to a word can be significant. With all the unstructured data out there, and the guidance we need to take texts apart and look at them from a logical perspective, analyzing skills have become mandatory to any individual working in marketing, text content creation, or otherwise.
Book 2: Dive deeper into the world of mining for or analyzing text. Become more acquainted with the guiding principles of writing in a certain way, understanding language and tone in specific texts, and using existing models to analyze each and every word in relation to each other.

Chapters

# Title Duration
1. OpeningTextAnalytics

0 mins 09 secs

2. TextAnalytics2OpeningCredits

0 mins 09 secs

3. TextAnalytics2Introduction

1 mins 42 secs

4. TextAnalytics21SentimentAnalysis

9 mins 22 secs

5. TextAnalytics22TextandImageAnalysis

2 mins 06 secs

6. TextAnalytics23WordClustering

4 mins 41 secs

7. TextAnalytics24ClusteringApplication

2 mins 59 secs

8. TextAnalytics25ClusteringandClassifyingDocuments

13 mins 03 secs

9. TextAnalytics26DefectPredictionModel

7 mins 59 secs

10. TextAnalytics27RegressionAnalysisBasics

13 mins 26 secs

11. TextAnalytics28ClassificationTreeAnalysis

7 mins 57 secs

12. TextAnalytics29BayesNets

7 mins 21 secs

13. TextAnalytics210DevelopingBayesianNetworks

4 mins 16 secs

14. TextAnalytics211FiveBayesianNetworkSoftware

5 mins 53 secs

15. TextAnalytics2ClosingCredits

0 mins 18 secs

16. TextAn1OpCredits

0 mins 10 secs

17. TextAnalysis11PythonforTextAnalysis

12 mins 08 secs

18. TextAnalysis13Whatare1st2nd3rdPOV

5 mins 26 secs

19. TextAnalysis14SentimentLexicons

6 mins 13 secs

20. TextAnalysis15LexiconBasedSentimentAnalysis

2 mins 00 secs

21. TextAnalysis16Subjectivity

0 mins 57 secs

22. TextAnalysis17BenefitsofSarcasm

4 mins 52 secs

23. TextAnalysis18ConditionalSentences

11 mins 21 secs

24. TextAnalysis19EnglishConditionalsExplained

4 mins 35 secs

25. TextAnalysis110CrossLanguageSupport

3 mins 29 secs

26. TextAnalysis111NegationWords

1 mins 42 secs

27. TextAnalysis112ModalityandMarkofModel

5 mins 31 secs

28. TextAnalysis113LatentDirichletAllocation

6 mins 22 secs

29. TextAnalysis1Conclusion

2 mins 36 secs

30. TextAn1EndCredits

0 mins 19 secs

31. ClosingTextAnalytics

0 mins 10 secs

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