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Title: :  Detecting Toxic comments By Using LSTM-CNN Model
PaperId: :  24077
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24077
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Bhalshankar S.TMIT College Of Railway Engineering & Research , Barshi
Shubham GuptaMIT College Of Railway Engineering & Research , Barshi
Akhilesh YadavMIT College Of Railway Engineering & Research , Barshi
Vaishnav MahadikMIT College Of Railway Engineering & Research , Barshi
Prajval PalwadeMIT College Of Railway Engineering & Research , Barshi
Prathamesh KhondhareMIT College Of Railway Engineering & Research , Barshi

Abstract

Computer Engineering
Toxic Comments, Convolutional Neural Network, Toxic Detection, Deep Learning, Text Classification, Machine Learning, Model Evaluation, Feature Extraction, Data Preprocessing
Nowadays users leave numerous comments on different social networks, news portals, and forums. Some of the comments are toxic or abusive. Due to the number of comments, it is unfeasible to manually moderate them, so most of the systems use some kind of automatic discovery of toxicity using machine learning models. In this work, we performed a systematic review o The state-of-the-art in toxic comment classification using machine learning methods. We have studied the impact of Support vector machines (SVM), Long Short- Term Memory Networks (LSTM), Convolutional Neural Networks (CNN), and Multilayer Perceptron (MLP) methods, in combination with word and character level embeddings, on identifying toxicity in text. We evaluated our approaches on Wikipedia comments from the Kaggle Toxic Comments Classification Challenge dataset. Regarding character-level classification, our best results occurred when using a CNN model.

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IJARIIE Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. "Detecting Toxic comments By Using LSTM-CNN Model" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 2830-2841
MLA Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. "Detecting Toxic comments By Using LSTM-CNN Model." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 2830-2841.
APA Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, & Prathamesh Khondhare. (2024). Detecting Toxic comments By Using LSTM-CNN Model. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 2830-2841.
Chicago Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. "Detecting Toxic comments By Using LSTM-CNN Model." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 2830-2841.
Oxford Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. 'Detecting Toxic comments By Using LSTM-CNN Model', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 2830-2841. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Detecting_Toxic_comments_By_Using_LSTM_CNN_Model_ijariie24077.pdf (Accessed : ).
Harvard Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. (2024) 'Detecting Toxic comments By Using LSTM-CNN Model', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 2830-2841IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Detecting_Toxic_comments_By_Using_LSTM_CNN_Model_ijariie24077.pdf (Accessed : )
IEEE Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare, "Detecting Toxic comments By Using LSTM-CNN Model," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 2830-2841, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Detecting_Toxic_comments_By_Using_LSTM_CNN_Model_ijariie24077.pdf [Accessed : ].
Turabian Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. "Detecting Toxic comments By Using LSTM-CNN Model." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Bhalshankar S.T, Shubham Gupta, Akhilesh Yadav, Vaishnav Mahadik, Prajval Palwade, and Prathamesh Khondhare. Detecting Toxic comments By Using LSTM-CNN Model. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 2830-2841. Available from: https://ijariie.com/AdminUploadPdf/Detecting_Toxic_comments_By_Using_LSTM_CNN_Model_ijariie24077.pdf
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