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6 days ago WEB Recently, Convolutional Neural Networks (CNN) are being applied to text classification or natural language processing both to distributed as to discrete embedding of words [4, …
1 week ago WEB Feb 27, 2018 · For text classification in particular the use of Convolutional Neural Networks (CNN) have recently been proposed approaching text analytics in a modern …
› Author: Spiros V. Georgakopoulos, Sotiris K. Tasoulis, Aristidis G. Vrahatis, Vassilis P. Plagianakos
› Publish Year: 2018
2 days ago Convolutional neural networks or CNN have been commonly applied to image classification problems because of its internal capacity to use two statistical properties named “local stationarity” and “compositional structure”. To implement CNN for toxic comment classification [19,20,21,22], the initial rule is that before being feeded to CNN architect...
› Author: Monirul Islam Pavel, Razia Razzak, Katha Sengupta, Md. Dilshad Kabir Niloy, Munim Bin Muqith, Siok Y...
› Publish Year: 2021
5 days ago WEB Oct 19, 2022 · Table 4 presents the religious toxic comments dataset results. NN CNN, RNN, LSTM, BiLSTM, GRU, and BiGRU deep learning models classify toxic religious …
4 days ago WEB Oct 1, 2022 · In this study toxic Wikipedia comments were identified using 3-tier CNN model. The simulation results show that an accuracy level of 98.505% is achieved using …
1 day ago WEB Jul 23, 2023 · This study represents a methodology to build a multi-label classifier using LSTM, CNN, and FastText that separates comments into six groups according to their …
1 week ago WEB Nov 22, 2021 · We finally developed a deep learning model for the toxic comment classification on the above-described dataset. The architecture of our model contains …
1 week ago WEB Over the last decade, deep learning models have surpassed machine learning models in text classification. However, with the continuity of the digital age, many are exposed to …
4 days ago WEB In the most significant issue now plaguing social networking platforms and online communities is toxicity identification. Therefore, it is necessary to create an automatic …
1 week ago WEB Sep 1, 2023 · Utilizing LSTM, Character-level CNN, Word-level CNN, and Hybrid model (LSTM + CNN) in this toxicity analysis is to classify comments and identify the different …
3 days ago WEB Jun 21, 2021 · Toxic comment classification is a NLP task close to sentiment analysis ... X. Zhang, Ynu-hpcc at semeval 2017 task 4: using a multichannel cnn-lstm model for …
3 days ago WEB Dec 13, 2021 · A Survey of Toxic Comment Classification Methods. Kehan Wang, Jiaxi Yang, Hongjun Wu. While in real life everyone behaves themselves at least to some …
1 week ago WEB Dec 21, 2021 · Finally, the classification result is output by Sigmoid function. Comparative experiments show the BG-GCNN model has a better classification effect than Text …
1 week ago WEB The goal is to find the strengths and weakness of different Deep Learning models on the text classification task.I developed the Neural Network models here is Convolutional …
1 week ago WEB Percentage of toxicity in toxic comments data. Full size image. In our train dataset only 8% of the data was toxic. Out of that 8%, 81% of the toxic comments made are insults, …
1 week ago WEB Dec 7, 2023 · Hence, toxic comments detection is fast becoming a key instrument in protecting social media platforms’ users from cyberbullying. This paper seeks to remedy …
1 day ago WEB This project uses deep learning, specifically long-short term memory (LSTM) units, gated recurrent units (GRU), and convolutional neural networks (CNN) to label comments as …
1 week ago WEB Apr 14, 2023 · The abstract proposes to create a classifier using an Lstm-cnn model that can differentiate between toxic and non-toxic comments with high accuracy, which can …
1 week ago WEB Algorithm 1 shows the working of the proposed Lstm-cnn models and explains how it combines the Lstm and CNN for toxic comment classification. Let Lstm and CNN be …
5 days ago WEB Convolutional Neural Networks for Toxic Comment Classification. xinzhel/kaggle-toxicity-2021 • 27 Feb 2018. To justify this decision we choose to compare CNNs against the …
5 days ago WEB Kaggle's competition on Toxic Comment Classification. The dataset consists of many toxic comments used by users in social media. The main aim of the project is to …
4 days ago WEB hybrid Bi-LSTM + CNN model has also been used to extract higher-level features with CNN layers that use convolutional layers and max-pooling for extracting local stationarity …