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University at Buffalo

UB Graduate Academic Schedule: Spring 2022

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


CSE 635LEC - Nlp And Text Mining
Nlp And Text Mining ROH Enrollment Information (not real time - data refreshed nightly)
Class #:   24771   Enrollment Capacity:   40
Section:   ROH   Enrollment Total:   60
Credits:   3.00 credits   Seats Available:   0
Dates:   01/31/2022 - 05/13/2022   Status:   CLOSED
Days, Time:   W , 12:00 PM - 2:30 PM
Room:   Remote view map
Location:   Remote      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 40 55  
  Course Description
This course will explore various approaches to text, web and social media mining. Since natural language processing (NLP) is the foundation for most text mining solutions, a major focus of the course is on widely used NLP algorithms. This includes topic models, entity tagging, opinion analysis, information extraction, parsing, summarization, machine translation and question answering. We will cover both traditional, feature-based approaches, as well as recent approaches based on neural embeddings. Several applications utilizing text mining will be covered including social media mining and recommender systems (algorithms powering Amazon, Facebook and Twitter).
             Srihari look up    
  On-line Resources
Other Courses Taught By: Srihari