Scopus Indexed Publications

Paper Details


Title
Sentence Level Sentiment Classification Using Machine Learning Approach in the Bengali Language
Author
Tuhin Hossain, Abdus Sattar, Ahmed Ainun Nahian Kabir, Md. Ahasun Habib Ratul,
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Abstract

In recent times, sentiment analysis is one of the most important aspects of machine learning research. However, many context-aware systems have developed based on the English language, which can automatically process the English language to make a clear emotion. However, much less work has done on Bengali than that. The main reason for this is the lack of an accurate Bengali dataset. In our works, we have used a unique dataset. The data is mainly various comments made by people through online news portals and social media. Humans collect those and maximum awareness sought while labeling the emotions. All data labeled into positive (1) and negative (0) emotions. Our main objective in this research is to build a Bengali context-aware system using various supervised machine-learning algorithms that can easily find out the emotions of any Bengali language. For this, we used K-Nearest Neighbors (KNN), Decision Tree (DT), Logistic Regression (LR), Support Vector Classifier (SVC), Multinomial Naïve Bayes (MNB), and Random Forest (RF) algorithm. Among them, the Random Forest (RF) algorithm generates the maximum accuracy that is 67.34 %.

Keywords
Sentiment analysis , Machine learning algorithms , Social networking (online) , Support vector machine classification , Static VAr compensators , Classification algorithms , Random forests
Journal or Conference Name
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022
Publication Year
2022
Indexing
scopus