Intro to Text Mining Bootcamp

  • 4 Courses | 10h 24m 24s
  • 10 Books | 65h 49m
  • Includes Lab
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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 August 31st at 11 AM ET. In this session Vignesh Narayanaswamy introduces NLP and text analysis, Corpus: the concept and use cases, as well as outlining and implementing the process of cleaning and preparing text for analysis.
3 videos | 2h 56m available Badge
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 1st at 11 AM ET. In this session Vignesh Narayanaswamy introduces creating a term document matrix and visualizing distribution of words, Bag-of-words analysis, and weight text data with term frequency inverse document frequency (TF-IDF).
2 videos | 3h 1m available Badge
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 September 2nd at 11 AM ET. In this session Vignesh Narayanaswamy introduces topic modeling, LDA on frequency counts, evaluating the results of LDA, and visualizing the results of LDA.
2 videos | 2h 27m available Badge
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 September 3rd at 11 AM ET. In this session Vignesh Narayanaswamy discusses cosine similarity as a metric and how it applies to text, interactive network graphs, hierarchical clustering, and visualizing clustering results as a dendrogram.
2 videos | 1h 59m available Badge
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BOOKS INCLUDED

Book

Text Mining in Practice with R
With 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.
Book Duration 5h 5m Book Authors By Ted Kwartler

Book

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Providing 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.
Book Duration 8h 12m Book Authors By James Sanger, Ronen Feldman

Book

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Including 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.
Book Duration 12h 23m Book Authors By Gary Miner, et al.

Book

Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining
Featuring 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.
Book Duration 8h 55m Book Authors By Christian Rubba, Dominic Nyhuis, Peter Meißner, Simon Munzert

Book

Short Message Service (SMS): The Creation of Personal Global Text Messaging
Written 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.
Book Duration 3h 14m Book Authors By Friedhelm Hillebrand (ed), et al.

Book

Natural Language Processing and Text Mining
Bringing 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.
Book Duration 6h 5m Book Authors By Anne Kao, Steve R. Poteet (eds)

Book

Working with Text: Tools, Techniques and Approaches for Text Mining
Providing 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.
Book Duration 6h 19m Book Authors By Emma L. Tonkin, Gregory J.L. Tourte (eds)

Book

Fundamentals of Predictive Text Mining, Second Edition
Providing 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.
Book Duration 5h 6m Book Authors By Nitin Indurkhya, Sholom M. Weiss, Tong Zhang

Book

Text Mining with MATLAB
Familiarizing both novices and text mining practitioners with MATLAB and its complex applications, this comprehensive text introduces basic procedures for handling and operating with text strings, then moves on major mathematical modeling approaches, statistical and geometrical models, and more.
Book Duration 4h 59m Book Authors By Rafael E. Banchs

Book

Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS
Featuring 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.
Book Duration 5h 31m Book Authors By Goutam Chakraborty, Murali Pagolu, Satish Garla
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