An Introduction to Text Mining: Research Design, Data Collection and Analysis – eBook

Description

An Introduction to Text Mining (PDF/ePub) serves as an essential guide for students eager to explore the expansive world of textual data collection and evaluation from online environments. This comprehensive textbook is meticulously crafted to address the most vital considerations that scholars must contemplate throughout their research endeavors.

In today’s digital landscape, students in social science disciplines engage with a plethora of online platforms — from social media to e-commerce sites — where they converse, learn, shop, and work. When tasked with collecting data for academic projects, they are frequently attracted to rich sources of textual data, especially those available on social media and other online forums. While numerous software tools and programming languages exist to facilitate online data collection, and a variety of literature provides guidance on different modes of online research — such as surveys and ethnographic interviews — there remains a lack of specialized texts that specifically instruct students on leveraging online textual data for substantive research projects. This includes essential resources like newspaper archives, user comment repositories, digitized historical records, and social media commentary.

Authored by leading experts Rada F. Mihalcea and Gabe Ignatow, An Introduction to Text Mining: Research Design, Data Collection and Analysis serves as a foundational text for undergraduates and first-year graduate students who are keen to learn effective methods for gathering and analyzing textual data from online sources. The book thoroughly addresses crucial themes that students must contemplate at every step of their research journey, such as philosophical and ethical considerations, meticulous research design strategies, strategic data selection criteria, data sampling techniques, web scraping and crawling methodologies, specific text analysis methods, and detailed report writing processes.

Reviews

“In the era of big data, this ebook is an excellent introduction to text mining for undergraduates and beginning graduate students. The proliferation of text as data, especially in social media, necessitates the inclusion of this subject in the data analysis toolkit of any social scientist.” — A. Victor Ferreros

“This comprehensive ebook illuminates a critical and timely research method for social science inquiries. Researchers eager to grasp the evolution of text mining techniques and effectively integrate these methods into their own projects will find this book exceptionally enlightening.” — Kenneth C. C. Yang

“This ebook offers a robust foundation for aspiring data scientists and contains invaluable tools, methods, and references that are crucial for their professional endeavors. It delves into methodologies from various disciplines, providing a rich base for developing effective data mining projects across business contexts.” — Roger D. Clark

“This excellent ebook encompasses an extensive array of topics on text analysis. By incorporating examples from multiple disciplines, it serves as a valuable resource for students across the social sciences, humanities, and sciences, catering even to those without an extensive background in this field.” — Jennifer Bachner

NOTE: This product exclusively includes the ebook An Introduction to Text Mining in its original ePub format. A converted PDF version is available upon request. Please be advised that no access codes are provided.