Knowledge Discovery Group

Master Project - Extracting Professional Interests from Social Media

News

  • Kick-off of the Master Project: May 7th (Wednesday) at 3 pm. Room is CAP 4, 1011.

Persons

Prof. Dr. Ansgar Scherp

Chifumi Nishioka, MSc.

Organization

This lecture will be taught either in German or in English (depending on the audience).

Summary

Goal of this practical course is to investigate based on findings in the literature to which extend it is possible to extract professional interests from social media.

Goals

The student will be enabled to conduct scientific research work and development tasks in a group of peer students. The students learn to discuss and solve a problem independently, develop their own ideas, implement, and evaluate them.

Content

Social media such as Twitter, Facebook, and Blogs are widely used today. Among many others, also technology innovators and researchers are using social media as platform for disseminating their thoughts and publishing about recent developments. Since then it is known that social media streams provide a valuable source in order to learn about someone's professional interests.
Goal of this practical course is to investigate based on findings in the literature to which extend it is possible to extract professional interests from social media. At the beginning, selected results from the literature will be given. Based on these, different methods (e.g. bag-of-words-based and entity-based) are applied to extract professional interests from social media data such as Twitter. The student team will implement the methods and evaluate them. By this, we want to replicate the results reported in the literature. As bonus, we aim at extending the achievements of the existing literature and to improve the State of the Art results.

Requirements

Programming skills such as object-oriented programming. Knowledge about Semantic Web and Linked Open Data is an advantage.

Course Assessment

Individual assessment of project results and oral exam.

Accounting

The module can be accounted as Master project. The acquired knowledge and skills can be applied for a Masters thesis.

News

  • Homepage kicked off!