Detecting state of aggression in sentences using CNN

TL;DR

This paper explores detecting aggression in sentences through neural networks, comparing CNN and Random Forest classifiers on message data from anonymous imageboards and movie reviews.

Contribution

It introduces a neural network approach for aggression detection and compares its performance with traditional classifiers on specific corpora.

Findings

CNN outperforms Random Forest on aggression detection

Neural networks show promise for verbal aggression analysis

Results demonstrate effectiveness on specialized message datasets

Abstract

In this article we study verbal expression of aggression and its detection using machine learning and neural networks methods. We test our results using our corpora of messages from anonymous imageboards. We also compare Random forest classifier with convolutional neural network for "Movie reviews with one sentence per review" corpus.