CS730: Text Mining for Social Media (Fall 2010)

[ Lecture Notes and Schedule]

Announcements

Lectures: Mondays: 11:30am-12:4pm Room: E510, Emerson Hall
Course Description: Proliferation of the Internet and ubiquitous access to the Web enable millions of Web users to collaborate online on a variety of activities. Many of these activities result in the construction of large repositories of knowledge, either as their primary aim (e.g., Wikipedia) or as a by-product (e.g., Yahoo Answers). This course will explore topics in text mining to extract, filter, and organize knowledge from social media and collaboratively generated content. The course topics will include: concept extraction and manipulation (e.g., knowledge base construction and Explicit Semantic Analysis), temporal analysis (e.g., for forecasting and topic evolution), sentiment analysis, incorporating meta-data (e.g., social network structure and user feedback), and applications to search and IR (e.g., searching social media or using it to improve web search).
Textbooks:

Foundations of Statistical Natural Language Processing (FSNLP), Manning & Schütze.

Other readings will be from research and survey articles, to be posted online as needed.
Grading:

  • In-class paper presentations (every 2-3 weeks): 50%

  • Final project/survey paper: 50%

Last updated: 31 August 2010