Approach of Different Classification Algorithms to Compare in N-gram Feature Between Bangla Good and Bad Text Discourses

Author:

Bitto Abu KowshirORCID,Bijoy Md. Hasan ImamORCID,Khan SaimaORCID,Mahmud ImranORCID,Biplob Khalid Been BadruzzamanORCID

Publisher

Springer Nature Singapore

Reference16 articles.

1. Alam MH, Rahoman M-M, Azad MAK (2017) Sentiment analysis for Bangla sentences using convolutional neural network. In: 2017 20th international conference of computer and information technology (ICCIT). IEEE, pp 1–6

2. Taher SM, Abu KAA, Azharul Hasan KM (2018) N-gram based sentiment mining for Bangla text using support vector machine. In: 2018 international conference on Bangla speech and language processing (ICBSLP). IEEE, pp 1–5

3. Mahtab SA, Islam N, Rahaman MM (2018) Sentiment analysis on Bangladesh cricket with support vector machine. In: 2018 international conference on Bangla speech and language processing (ICBSLP). IEEE, pp 1–4

4. Hassan A, Amin MR, Mohammed N, Azad AKA (2016) Sentiment analysis on Bangla and romanized Bangla text (BRBT) using deep recurrent models. arXiv preprint arXiv:1610.00369

5. Ishmam AM, Sharmin S (2019) Hateful speech detection in public facebook pages for the Bengali language. In: 2019 18th IEEE international conference on machine learning and applications (ICMLA). IEEE, pp 555–560

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