NLP-based Feature Extraction for Automated Tweet Classification

Twitter conveys the opinions and interests of people in various topics and domains. In this paper we focus on political data with the purpose of automatically classifying opinion polarities and topic categories. Our experiments show that natural language processing techniques alone do not capture the information wanted. As a result, we use a hybrid method and we propose adding language features in a machine learning process that improved our results.