Identifying emergency stages in Facebook posts of police departments with convolutional and recurrent neural networks and support vector machines

01/02/2018
by   Nicolai Pogrebnyakov, et al.
0

Classification of social media posts in emergency response is an important practical problem: accurate classification can help automate processing of such messages and help other responders and the public react to emergencies in a timely fashion. This research focused on classifying Facebook messages of US police departments. Randomly selected 5,000 messages were used to train classifiers that distinguished between four categories of messages: emergency preparedness, response and recovery, as well as general engagement messages. Features were represented with bag-of-words and word2vec, and models were constructed using support vector machines (SVMs) and convolutional (CNNs) and recurrent neural networks (RNNs). The best performing classifier was an RNN with a custom-trained word2vec model to represent features, which achieved the F1 measure of 0.839.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/08/2019

Development of email classifier in Brazilian Portuguese using feature selection for automatic response

Automatic email categorization is an important application of text class...
research
10/25/2022

Clustering of Threat Information to Mitigate Information Overload for Computer Emergency Response Teams

The constantly increasing number of threats and the existing diversity o...
research
11/16/2019

General Regression Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, and Feedforward Neural Networks

The aim of this project is to develop a code to discover the optimal sig...
research
12/15/2005

Evolino for recurrent support vector machines

Traditional Support Vector Machines (SVMs) need pre-wired finite time wi...
research
05/19/2018

Chief complaint classification with recurrent neural networks

Syndromic surveillance detects and monitors individual and population he...
research
09/01/2019

Monitoring stance towards vaccination in Twitter messages

We developed a system to automatically classify stance towards vaccinati...
research
06/05/2020

PASSVM: A Highly Accurate Online Fast Flux Detection System

Fast Flux service networks (FFSNs) are used by adversaries to achieve a ...

Please sign up or login with your details

Forgot password? Click here to reset