Hate speech detection from social networking posts using CNN and XGBoost
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
主要な著者: | Shahadat, Ashraf Bin, Rony, Md. Mizanur Rahman, Anwar, Md. Adnanul, Joy, Eialid Ahmed |
---|---|
その他の著者: | Alam, Md. Golam Rabiul |
フォーマット: | 学位論文 |
言語: | en_US |
出版事項: |
Brac University
2020
|
主題: | |
オンライン・アクセス: | http://hdl.handle.net/10361/14057 |
類似資料
-
Leaf classification by feature extraction using CNN
著者:: Bhuiyan, Md. Mazharul Islam, 等
出版事項: (2020) -
Enhanced hate speech detection in social media using transformer-based models
著者:: Tabasshum, Anika, 等
出版事項: (2024) -
Identifying hate speech of Bangla language text using natural language processing
著者:: Rahman, Mushfiqur, 等
出版事項: (2024) -
Multiclass emotion classification by using Spectrogram image analysis: A CNN-XGBoost fusion approach
著者:: Esha, Ishraq Ahmed, 等
出版事項: (2023) -
Comparative study of toxic comments classification using machine learning algorithms
著者:: Razzak, Razia, 等
出版事項: (2021)