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Conference articles · 2021

An Automated Approach for Bangla Sentence Classification Using Supervised Algorithms

Md. Hasan Imam Bijoy, Mehedi Hasan, Abdur Nur Tusher, Md. Mahbubur Rahman, Md. Jueal Mia, Masud Rabbani

2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) · Pages 1–6

Abstract

Natural Language Processing (NLP) is one of the greatest familiar field of Artificial Intelligence. Bangla text classification is become a significant problem due to the availability of textual documents. So, it's high time to solve this problem for better information organization and knowledge management. This study identifies the type of Bangla sentence from a human story: exclamatory or interrogative text document. Several machine learning approaches are applying to the dataset and identify the sentence from the text document. Regulating data is collected from various platforms such as story, Bengali's blog, conversation, etc. To get the output, we need to go through hard work as data cleaning, preprocessing, tokenized by the Countervector, etc. After processing data for the feeding model, we conduct various classification approaches to predict the sentence and provide high accuracy for deciding the result. Among all the approaches, Random Forest and XGBoost provide the highest accuracy of 96.39% in parallel. This study also provides the advantage of sentimental analysis by detecting the type of document in further implementation.

Publication details

Category
Conference articles
Authors & affiliations
  1. Md. Hasan Imam BijoyDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
  2. Mehedi HasanDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
  3. Abdur Nur TusherDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
  4. Md. Mahbubur RahmanDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
  5. Md. Jueal MiaDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
  6. Masud RabbaniDepartment of Computer Science and Engineering, Daffodil International University, Dhaka-1207, Bangladesh
Venue
2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Publisher
IEEE
Record
Pages 1–6
Published
2021
Cite this work

Md. Hasan Imam Bijoy, Mehedi Hasan, Abdur Nur Tusher, Md. Mahbubur Rahman, Md. Jueal Mia, Masud Rabbani. “An Automated Approach for Bangla Sentence Classification Using Supervised Algorithms”. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–6. (2021). https://doi.org/10.1109/ICCCNT51525.2021.9579940.

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Research topics

  • Bangla Sentence Classification
  • Natural Language Processing
  • Machine Learning
  • Supervised Algorithm
  • Random Forest
  • XGBoost
  • Bangla NLP
  • sentence classification
  • supervised learning
  • text preprocessing

Research context

Explore the connected research focus

Bangla NLP & language technology