Twitter sentiment analysis is the task of performing sentiment analysis on tweets from Twitter.
In this paper, we conduct the first comparative study of various learning models on Hate and Abusive Speech on Twitter, and discuss the possibility of using additional features and context data for improvements.
The first space is a bag-of-words model and has a Linear SVM as base classifier.
In this paper we describe our attempt at producing a state-of-the-art Twitter sentiment classifier using Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTMs) networks.
SOTA for Sentiment Analysis on SemEval