SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection
Angel Deborah S, Rajalakshmi Sivanaiah, S Milton Rajendram, T. T. Mirnalinee · 2018
The system developed by the SSN MLRG1 team for Semeval-2018 task 1 on affect in tweets uses rule based feature selection and one-hot encoding to generate the input feature vector.Multilayer Perceptron was used to build the model for emotion intensity ordinal classification, sentiment analysis ordinal classification and emotion classfication subtasks.Support Vector Regression was used to build the model for emotion intensity regression and sentiment intensity regression subtasks.