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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | HATE AND OFFENSIVE TEXT DETECTION USING DEEP LEARNING |
| Authors Name: | KUNDHI KIRANMAI |
| Unique Id: | IJSDR2309039 |
| Published In: | Volume 8 Issue 9, September-2023 |
| Abstract: | n recent years, people write and post abusive language on online social media platforms such as Twitter, Facebook, etc which is easily spread on internet. due to enormous volume of such posts the problem of detecting hateful and offensive text in social media is very difficult to solve manually. Hence systems that can automatically detect hate and offensive text in social media has lot of significance in modern world. In this project, Bidirectional Encoder Representation from Transformers (BERT+CNN) , Convolutional Neural Network (CNN), and Linear Short Term Memory (LSTM) are used to identify hateful text. A benchmark dataset of approximately 25 thousand annotated tweets or used to construct models based on deep learning methods. The effectiveness of BERT+CNN , CNN and LSTM models are experimentally analyzed and compared all these models classification performance. The overall aim of these project is to develop an efficient Deep Learning model for detection of hateful and offensive text automatically. |
| Keywords: | Enormous, Significance, CNN, LSTM, BERT, Approximately |
| Cite Article: | "HATE AND OFFENSIVE TEXT DETECTION USING DEEP LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.241 - 248, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309039.pdf |
| Downloads: | 000338720 |
| Publication Details: | Published Paper ID: IJSDR2309039 Registration ID:208496 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): Page No: 241 - 248 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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