No abstract

No abstract

The use of Bangla abusive texts has been accelerated with the progressive use of social media. Through this platform, one can spread the hatred or negativity in a viral form. Plenty of research has been done on detecting abusive text in the English language. Bangla abusive text detection has not been done to a great extent. In this experimental study, we have applied three distinct approaches to a comprehensive dataset to obtain a better outcome. In the first study, a large dataset collected from Facebook and YouTube has been utilized to detect abusive texts. After extensive pre-processing and feature extraction, a set of consciously selected supervised machine learning classifiers i.e. multinomial Naïve Bayes (MNB), multi layer perceptron (MLP), support vector machine (SVM), decision tree, random forrest, stochastic gradient descent (SGD), ridge, perceptron and k-nearest neighbors (k-NN) has been applied to determine the best result. The second experiment is conducted by constructing a balanced dataset by random under sampling the majority class and finally, a Bengali stemmer is employed on the dataset and then the final experiment is conducted. In all three experiments, SVM with the full dataset obtained the highest accuracy of 88%.

PurposeTo identify the financial stress and associate factors of tertiary level student.Design/methodology/approachTo identify the financial stress and associate factors, a structured questionnaire was developed to collect data from 571 students of different universities of Bangladesh through Google form. Chi square and Cramer's V were applied to find the associated factors with financial stress of students, whereas ordinal regression was performed to evaluate the influence of the associated factors on financial stress.FindingsGender, living status, borrowing loan factors have positive association with financial stress. Tuition fee dues have significant positive association with financial stress. A student who has tuition fee dues feels 1.48 times more stress compared to student who does not have dues. Females were found less likely to be financially stressed (AOR = 1.536) than male students. Students who borrowed loans were more likely to have financial stress than non-borrowed loan groups of students.Practical implicationsResults indicate that financial stress has a strong impact on participation in different academic and personal activities of a student. Therefore, parents, university administration and student counselor should consider the factor to assess stress of a student.Originality/valueThis study identified factors responsible for financial stress of Bangladeshi students of tertiary level.

No abstract