Sabih Bin Wasi

Learn More
In this paper, we describe our system for the Sentiment Analysis of Twitter shared task in SemEval 2014. Our system uses an SVM classifier along with rich set of lexical features to detect the sentiment of a phrase within a tweet (Task-A) and also the sentiment of the whole tweet (TaskB). We start from the lexical features that were used in the 2013 shared(More)
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(More)
This paper describes the system we submitted to the SemEval-2014 shared task on sentiment analysis in Twitter. Our system is a hybrid combination of two system developed for a course project at CMUQatar. We use an SVM classifier and couple a set of features from one system with feature and parameter optimization framework from the second system. Most of the(More)
  • 1