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Hands-on Text Mining and Analytics

Min Song

3.9

Based on 40 ratings

, see reviews

Min Song

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists.

Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

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What's inside

Syllabus

Course Logistics and the Text Mining Tool for the Course

Text Preprocessing

Text Analysis Techniques

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops core skills for data scientists, including data preprocessing, sentiment analysis, and topic modeling

Provides hands-on experience using the real world datasets and the text mining toolkit written in Java

Teaches key components of text mining and analytics

Empowers students to develop interesting text mining applications

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Reviews summary

Practical text mining with java toolkit

Based on the course description and syllabus, this course appears to offer a practical, hands-on introduction to text mining and analytics, aiming to train competent data scientists. Learners can expect to gain experience with real-world datasets and the y-TextMiner toolkit in Java. The curriculum covers essential text analysis techniques including text preprocessing, sentiment analysis, and topic modeling. While the use of a custom Java toolkit might be a unique learning opportunity, prospective students should consider its relevance to their preferred tools and career paths.

Utilizes the y-TextMiner toolkit written in Java.

"I'm curious about the y-TextMiner toolkit and how widely it's used beyond this course."

"As a Java developer, I'm excited to work with a Java-based text mining tool."

"I primarily use Python, so I'm wondering if the Java toolkit will be a hurdle or a new skill."

Designed to train competent data scientists.

"I'm taking this course to become a more competent data scientist."

"This seems tailored for individuals aiming for professional data science roles."

"I anticipate that the skills learned will be highly relevant for a data scientist career."

Covers core text mining and analytics techniques.

"The syllabus includes all the key text mining areas I wanted to learn, like sentiment analysis and topic modeling."

"I feel the course provides a good foundational overview of text analysis techniques."

"I hope to understand text preprocessing and document classification thoroughly."

Emphasizes hands-on learning with real datasets.

"I expect to gain a lot of practical experience using real-world datasets."

"The hands-on approach is exactly what I'm looking for to apply these concepts."

"I hope this course helps me develop concrete text mining applications."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Hands-on Text Mining and Analytics with these activities:

Review Calculus Concepts

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Review fundamental calculus concepts to strengthen your mathematical foundation and enhance your understanding of text mining techniques.

Browse courses on Calculus

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Revisit key calculus concepts such as derivatives, integrals, and limits.
Practice solving calculus problems to refresh your skills.

Compilation of Text Mining Resources

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Enhance your learning by compiling a collection of useful resources, tools, and datasets related to text mining.

Browse courses on Text Mining

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Identify and gather relevant resources from online sources and research papers.
Categorize and organize the resources for easy access.
Consider creating a blog post or website to share the compilation with others.

Analyze 'Natural Language Processing with Python'

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Expand your knowledge by reviewing a comprehensive text on natural language processing, which provides insights into advanced techniques related to text mining.

View Natural Language Processing with Python:... on Amazon

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Read selected chapters to gain a deeper understanding of NLP concepts.
Complete exercises and practice problems to reinforce your learning.

Five other activities

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Exercises on Text Preprocessing

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Enhance your skills by practicing text preprocessing techniques, which are crucial for effective text mining.

Browse courses on Text Preprocessing

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Use Python libraries to perform text cleaning, tokenization, and stemming on sample datasets.
Experiment with different preprocessing methods to observe their impact on text analysis.

Mentoring in Text Mining Concepts

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Deepen your understanding by mentoring others in text mining concepts, which reinforces your knowledge and improves your communication skills.

Browse courses on Text Mining

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Identify opportunities to mentor students or colleagues in text mining.
Share your knowledge and expertise to guide others.
Provide feedback and support to facilitate their learning journey.

Mini Project: Sentiment Analysis of Product Reviews

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Apply your knowledge by conducting a mini project on sentiment analysis, which involves analyzing and interpreting emotions expressed in text.

Browse courses on Sentiment Analysis

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Collect a dataset of product reviews.
Develop a Python script to preprocess the data and perform sentiment analysis.
Analyze the results to identify patterns and insights.

Attend Text Mining Conference

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Expand your network and stay updated on advancements in text mining by attending a relevant conference.

Browse courses on Text Mining

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Identify and register for a text mining conference.
Attend presentations, workshops, and networking sessions.
Connect with experts and explore potential collaborations.

Presentation on Key Text Mining Concepts

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Solidify your understanding by creating a presentation that explains key concepts and techniques in text mining.

Browse courses on Text Mining

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Research and gather information on text mining.
Organize the content logically and visually.
Practice delivering the presentation effectively.

Career center

Learners who complete Hands-on Text Mining and Analytics will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist is responsible for developing and building models to analyze data, and they may work in many different industries. This course is an excellent fit for this role, as it teaches the key components of text mining and analytics, which are skills that are in high demand for Data Scientists.

See salaries and explore the career path for Data Scientist

Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make better decisions. This course can provide the foundation for a career as a Data Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for businesses in many different industries.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

A Machine Learning Engineer builds and deploys machine learning models to solve business problems. This course can help you build a foundation for a career as a Machine Learning Engineer, as it teaches the key components of text mining and analytics, which are skills that are in high demand for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

A Business Analyst helps businesses identify and solve problems, and they may work in many different industries. This course may be useful for someone who wants to become a Business Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Business Analysts in many different industries.

See salaries and explore the career path for Business Analyst

Marketing Analyst

A Marketing Analyst analyzes data to help businesses make better marketing decisions. This course may be useful for someone who wants to become a Marketing Analyst, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Marketing Analysts in many different industries.

See salaries and explore the career path for Marketing Analyst

Product Manager

A Product Manager is responsible for the development and launch of new products. This course may be useful for someone who wants to become a Product Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Product Managers in many different industries.

See salaries and explore the career path for Product Manager

Software Engineer

A Software Engineer designs, develops, and maintains software applications. This course may be useful for someone who wants to become a Software Engineer, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Software Engineers in many different industries.

See salaries and explore the career path for Software Engineer

Database Administrator

A Database Administrator manages and maintains databases. This course may be useful for someone who wants to become a Database Administrator, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Database Administrators in many different industries.

See salaries and explore the career path for Database Administrator

Technical Writer

A Technical Writer creates and maintains documentation for technical products. This course may be useful for someone who wants to become a Technical Writer, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Technical Writers in many different industries.

See salaries and explore the career path for Technical Writer

User Experience Researcher

A User Experience Researcher studies how users interact with products and services. This course may be useful for someone who wants to become a User Experience Researcher, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for User Experience Researchers in many different industries.

See salaries and explore the career path for User Experience Researcher

Information Architect

An Information Architect designs and organizes websites and other information systems. This course may be useful for someone who wants to become an Information Architect, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Information Architects in many different industries.

See salaries and explore the career path for Information Architect

Content Strategist

A Content Strategist plans and creates content for websites and other digital platforms. This course may be useful for someone who wants to become a Content Strategist, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Content Strategists in many different industries.

See salaries and explore the career path for Content Strategist

Social Media Manager

A Social Media Manager plans and executes social media campaigns. This course may be useful for someone who wants to become a Social Media Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Social Media Managers in many different industries.

See salaries and explore the career path for Social Media Manager

Public relations manager

A Public Relations Manager manages the public image of a company or organization. This course may be useful for someone who wants to become a Public Relations Manager, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Public Relations Managers in many different industries.

See salaries and explore the career path for Public relations manager

Customer Service Representative

A Customer Service Representative provides support to customers. This course may be useful for someone who wants to become a Customer Service Representative, as it teaches the skills needed to analyze and interpret text data, which is a valuable skill for Customer Service Representatives in many different industries.

See salaries and explore the career path for Customer Service Representative

Reading list

We've selected 24 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Hands-on Text Mining and Analytics.

Lifelong and Continual Learning Dialogue Systems

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Focuses on sentiment analysis, which specific application of text mining. It covers techniques for extracting and analyzing sentiment from text data.

Lifelong and Continual Learning Dialogue Systems...

Hardcover

Natural Language Processing with Python

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Would be useful to read as a supplement to this course, as it provides a comprehensive overview of natural language processing with Python. This book is recommended for learners who are interested in learning more about the theory and practice of natural language processing.

Natural Language Processing with Python: Analyzing...

Paperback

$$$

(中文) Python Natural Language Processing(Chinese Edition)