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University at Buffalo

UB Graduate Academic Schedule: Spring 2023


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.


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CSE 635LEC - Nlp And Text Mining
Lecture
Nlp And Text Mining ROH Enrollment Information (not real time - data refreshed nightly)
Class #:   22454   Enrollment Capacity:   83
Section:   ROH   Enrollment Total:   80
Credits:   3.00 credits   Seats Available:   3
Dates:   01/30/2023 - 05/12/2023   Status:   OPEN WITH RESERVES
Days, Time:   W , 12:00 PM - 2:40 PM
Room:   Alumni 97 view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 41 41  
Eng Sci MS: AI Seats Reserved 10 10  
Eng Sci MS Data Sci Seats Rsvr 10 7  
Enrollment Requirements
Prerequisites: Prerequisites: CSE 574. CSE 535 preferred but not required.
  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).
  Instructor(s)
             Srihari look up    
  On-line Resources
Other Courses Taught By: Srihari