CMU-CS-QTR-127
Computer Science Qatar
School of Computer Science, Carnegie Mellon University


CMU-CS-QTR-127

2015 Senior Thesis Project Reports

Iliano Cervesato, Kemal Oflazer, Mark Stehlik,
Khaled Harras, Houda Bouamor, Alexander W. Cheek
Editors

Sabih Bin Wasi
Author

Contents
State-of-the-art, Real-time,
Interactive Twitter Sentiment Analysis using Machine Learning

May 2015

CMU-CS-QTR-127.pdf


Keywords: Sentiment Analysis, Twitter, Machine Learning, Supervised Text Classification, Data Visualization

This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2014-15 as part of their degree. These projects have spanned the students' entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campus-wide Meeting of the Minds and submitted a written thesis in May.

38 pages

The editors of the report include the members of the Senior Thesis Committee on the Qatar campus and the student's advisors.

Return to: SCS Technical Report Collection
School of Computer Science

This page maintained by reports@cs.cmu.edu