A Novel Way of Identifying Cyber Predators

12/11/2017
by   Dan Liu, et al.
0

Recurrent Neural Networks with Long Short-Term Memory cell (LSTM-RNN) have impressive ability in sequence data processing, particularly for language model building and text classification. This research proposes the combination of sentiment analysis, new approach of sentence vectors and LSTM-RNN as a novel way for Sexual Predator Identification (SPI). LSTM-RNN language model is applied to generate sentence vectors which are the last hidden states in the language model. Sentence vectors are fed into another LSTM-RNN classifier, so as to capture suspicious conversations. Hidden state enables to generate vectors for sentences never seen before. Fasttext is used to filter the contents of conversations and generate a sentiment score so as to identify potential predators. The experiment achieves a record-breaking accuracy and precision of 100 SPI competition.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/28/2018

Disfluency Detection using a Noisy Channel Model and a Deep Neural Language Model

This paper presents a model for disfluency detection in spontaneous spee...
research
11/27/2015

A C-LSTM Neural Network for Text Classification

Neural network models have been demonstrated to be capable of achieving ...
research
02/24/2015

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

This paper develops a model that addresses sentence embedding, a hot top...
research
11/11/2015

Larger-Context Language Modelling

In this work, we propose a novel method to incorporate corpus-level disc...
research
03/28/2018

Network Traffic Anomaly Detection Using Recurrent Neural Networks

We show that a recurrent neural network is able to learn a model to repr...
research
02/17/2021

Introducing the Hidden Neural Markov Chain framework

Nowadays, neural network models achieve state-of-the-art results in many...
research
05/07/2015

Jointly Modeling Embedding and Translation to Bridge Video and Language

Automatically describing video content with natural language is a fundam...

Please sign up or login with your details

Forgot password? Click here to reset