Intro to Text Mining Bootcamp
- 4 Courses | 10h 31s
- 9 Books | 60h 50m
- Includes Lab
This Bootcamp will give students the foundational skills they need in order to process, clean, and format text data for analysis. By the end of this course, students will be able to integrate text mining into their work. Students will also learn how to visualize text data and begin working with text mining analysis. The ideal candidate for this Bootcamp has experience using Python to manipulate and visualize data and wants to expand their skills in programming in Python and text mining analysis. Prior to attending the Live sessions, attendees must be comfortable using Python to manipulate data and must know how to create advanced visualizations in Python. Before attending the Bootcamp, please download and install Anaconda from the following URL: https://www.anaconda.com/products/individual
COURSES INCLUDED
Intro to Text Mining Bootcamp: Session 1 Replay
This is a recorded Replay of the Intro to Text Mining Bootcamp Live session that ran on September 20th at 11 AM EDT.
3 videos |
2h 40m
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Intro to Text Mining Bootcamp: Session 2 Replay
This is a recorded Replay of the Intro to Text Mining Bootcamp Live session that ran on September 21st.
2 videos |
2h 28m
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Intro to Text Mining Bootcamp: Session 3 Replay
This is a recorded Replay of the Intro to Text Mining Bootcamp Live session that ran on March 24th at 11 AM ET.
3 videos |
2h 29m
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Intro to Text Mining Bootcamp: Session 4 Replay
This is a recorded Replay of the Intro to Text Mining Bootcamp Live session that ran on March 25th at 11 AM ET.
2 videos |
2h 22m
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EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Text Mining in Practice with RWith the help of numerous real-world examples and case studies, this book takes a practical, hands-on approach to teaching you a reliable, cost-effective method to mining the vast, untold riches buried within all forms of text using R.
5h 5m
By Ted Kwartler
Book
The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured DataProviding an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.
8h 12m
By James Sanger, Ronen Feldman
Book
Practical Text Mining and Statistical Analysis for Non-structured Text Data ApplicationsIncluding extensive case studies, most in a tutorial format, this comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.
12h 23m
By Gary Miner, et al.
Book
Automated Data Collection with R: A Practical Guide to Web Scraping and Text MiningFeaturing case studies throughout along with examples for each technique presented, as well as an extensive set of exercises, this book provides a hands on guide to web scraping and text mining for both beginners and experienced users of R.
8h 55m
By Christian Rubba, Dominic Nyhuis, Peter Meißner, Simon Munzert
Book
Short Message Service (SMS): The Creation of Personal Global Text MessagingWritten to celebrate the 25th anniversary of SMS standardization by the people who produced the standards, this book describes the development of the SMS standard and its ongoing evolution, and also looks to the future, as a large number of new GSM and evolved GSM phones will support SMS as a mass market high availability messaging service, a new simple Multimedia Messaging Service (MMS) suitable for use by everyone.
3h 14m
By Friedhelm Hillebrand (ed), et al.
Book
Natural Language Processing and Text MiningBringing together various perspectives from internationally renowned researchers, this text also explores a variety of real-world applications of NLP and text-mining algorithms, placing emphasis on the description of end-to-end solutions to real problems.
6h 5m
By Anne Kao, Steve R. Poteet (eds)
Book
Working with Text: Tools, Techniques and Approaches for Text MiningProviding cross-disciplinary perspectives on text mining and its applications, this book offers focused studies describing text mining on historical texts, automated indexing using constrained vocabularies, and the use of natural language processing to explore the climate science literature.
6h 19m
By Emma L. Tonkin, Gregory J.L. Tourte (eds)
Book
Fundamentals of Predictive Text Mining, Second EditionProviding helpful advice illustrated by examples and case studies, this unique guide on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics.
5h 6m
By Nitin Indurkhya, Sholom M. Weiss, Tong Zhang
Book
Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SASFeaturing an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries, this book provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight.
5h 31m
By Goutam Chakraborty, Murali Pagolu, Satish Garla
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