This repository contains a sentiment analysis system which participated of FiQA 2018 Task 1 (https://sites.google.com/view/fiqa), an open challenge of The Web Conference

This system is based on a simple machine learning approach, a supervised learning with the main algorithm a SVC (Support Vector Classifier) and a SVR (Support Vector Regressor) with some variety of parameters combined using a Grid Search CV.

This system was used on my finals at Federal University of Goiás and the related paper is hosted on:

https://dl.acm.org/citation.cfm?doid=3184558.3191828