Rutgers University Management
Text Mining introduces students to methods of analyzing text data to provide business insights for firms with code-free text mining toolkits. The first part of the course focuses on strategic issues as well as learning basics on how to prepare text data for analyses. We will begin by framing text analytics questions, understanding sources of text data, and generating preliminary insights by coding text data. We will learn how to encode and preprocess text data for automated text analyses. Then, the course proceeds to focus on automated text analyses. We will cover explorative text analytics using word analyses (including word frequency analysis, keyword analyses, and text parsing), text visualization, and topic modeling. The last part of the course focuses on text classification and predictions; for example, understanding customer opinions from review comments with sentiment analysis. There are different methods for text classification and predictions, ranging from the very simple to the very sophisticated. We will cover unsupervised dictionary approach as well as more advanced supervised machine learning approach. Prerequisite: 53:716:502 Business Analytics.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.