Could not complete log in. Possible causes and solutions are:
Cookies are not set, which might happen if you've never visited this website before.
Please open https://media.dlib.indiana.edu/ in a new window, then come back and refresh this page.
An ad blocker is preventing successful login.
Please disable ad blockers for this site then refresh this page.
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P1A: Linked Open Data (LOD).
Yvonne Frye, of the East Helsinki Music Institute and the Sibelius Academy of the University of the Arts Helsinki, delivers a lecture to students of Mimi Zweig, Professor of Music (Violin, Viola) at the Indiana University Jacobs School of Music.
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P6A: Repository Rants and Raves.
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P6A: Repository Rants and Raves.
With the increasing role social media platforms like Facebook, Twitter, YouTube, and Tumbler play in our lives today, the body of data generated by their users continues to grow phenomenally. Accordingly, searches and processing of social media data beyond the limiting level of surface words are becoming increasingly important to business and governmental bodies, as well as to lay web users. Detection of sentiment, emotion, deception, gender, sarcasm, age, perspective, topic, community, and personality are all valuable social meaning components that promise to be important elements of next generation search engines and web intelligence. The emerging area of extracting social meaning from social media data using computational methods is known as Social Media Mining (SMM).
This workshop is intended to first introduce the core ideas of natural language processing (NLP) and then to provide the ideas and some hands-on instruction in mining social data using NLP and machine learning technologies. As such, we will address practical issues related to building tools to mine social media data and some of the primary computational methods employed for modeling social meaning as occurring in these data.
Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P5A: Building the Perfect Repository.