INTRODUCTION TO TEXT MINING

LIS 501

Course Description

Introduces computational methods and tools for processing, analyzing, and understanding text data. Topics include text data preparation and preprocessing, models of text content and meaning, exploratory text analytics, text classification, information extraction from texts, ethical issues in natural language processing (NLP), and related applications in information sciences and other fields. Develops practical skills to design and implement text mining solutions using popular NLP tools and programming packages.

Prerequisties

Junior standing and Satisfied Quantitative Reasoning (QR) A requirement or graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Offered

Not Applicable

Grade Point Average

3.79

2.94% from Historical

Completion Rate

98.72%

2.41% from Historical

A Rate

73.08%

-5.68% from Historical

Class Size

110.81% from Historical

2025 Fall Grade Distribution

Instructors (2025 Fall)

Sorted by ratings from Rate My Professors

Devansh SAXENA

[email protected]

Rating

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