Processing Text with Python Essential Training.
(eVideo)
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Contributors
Published
Carpenteria, CA linkedin.com, 2019.
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Format
eVideo
Language
English
Notes
General Note
6/20/201912:00:00AM
Participants/Performers
Presenter: Kumaran Ponnambalam
Description
Learn the essential techniques for cleansing and processing text in Python. Discover how to convert text to a form that's ready for analytics and predictions.
Description
In the world of big data, more and more information is consumed and analyzed in text form. Websites, social media, emails, and chats have become the key sources for data and insights. If you work with data, then understanding how to deal with unstructured text data is essential. In this course, instructor Kumaran Ponnambalam helps you build your text mining skill set, covering key techniques for extracting, cleansing, and processing text in Python. Kumaran reviews key text processing concepts like tokenization and stemming. He also looks at techniques for converting text into analytics-ready form, including n-grams and TF-IDF. Along the way, he provides examples of these techniques using Python and the NLTK library.
System Details
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.
Citations
APA Citation, 7th Edition (style guide)
Ponnambalam, K. (2019). Processing Text with Python Essential Training . linkedin.com.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Ponnambalam, Kumaran. 2019. Processing Text With Python Essential Training. linkedin.com.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Ponnambalam, Kumaran. Processing Text With Python Essential Training linkedin.com, 2019.
MLA Citation, 9th Edition (style guide)Ponnambalam, Kumaran. Processing Text With Python Essential Training linkedin.com, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
6583845a-1c2a-c0c4-96c0-74e6456ff433-eng
Grouping Information
| Grouped Work ID | 6583845a-1c2a-c0c4-96c0-74e6456ff433-eng |
|---|---|
| Full title | processing text with python essential training |
| Author | ponnambalam kumaran |
| Grouping Category | movie |
| Last Update | 2024-03-29 16:39:36PM |
| Last Indexed | 2024-04-17 02:19:35AM |
Book Cover Information
| Image Source | sideload |
|---|---|
| First Loaded | Feb 2, 2024 |
| Last Used | Feb 2, 2024 |
Marc Record
| First Detected | Nov 10, 2021 06:44:38 AM |
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| Last File Modification Time | Mar 29, 2024 04:40:45 PM |
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| 520 | |a In the world of big data, more and more information is consumed and analyzed in text form. Websites, social media, emails, and chats have become the key sources for data and insights. If you work with data, then understanding how to deal with unstructured text data is essential. In this course, instructor Kumaran Ponnambalam helps you build your text mining skill set, covering key techniques for extracting, cleansing, and processing text in Python. Kumaran reviews key text processing concepts like tokenization and stemming. He also looks at techniques for converting text into analytics-ready form, including n-grams and TF-IDF. Along the way, he provides examples of these techniques using Python and the NLTK library. | ||
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