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View article: BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla
BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla Open
Natural disasters remain a major challenge for Bangladesh, so real-time monitoring and quick response systems are essential. In this study, we present BanglaMM-Disaster, an end-to-end deep learning-based multimodal framework for disaster c…
View article: Analyzing the Performance of Deep Learning Models for Detecting Hate Speech on Social Media Platforms
Analyzing the Performance of Deep Learning Models for Detecting Hate Speech on Social Media Platforms Open
Currently social media and online platforms have become a major source of cyberbullying and hate speech. It is currently affecting people and communities in harmful ways. Hate speech on social media is rising in Bangladesh and it is creati…
View article: Enhancing Customer Satisfaction Analysis Using Advanced Machine Learning Techniques in Fintech Industry
Enhancing Customer Satisfaction Analysis Using Advanced Machine Learning Techniques in Fintech Industry Open
Customer satisfaction (CSAT) is vital in service and marketing, indicating how well products or services meet customer expectations. Traditional CSAT methods like the American Customer Satisfaction Index (ACSI) and Net Promoter Score (NPS)…
View article: Predicting Customer Sentiment in Social Media Interactions: Analyzing Amazon Help Twitter Conversations Using Machine Learning
Predicting Customer Sentiment in Social Media Interactions: Analyzing Amazon Help Twitter Conversations Using Machine Learning Open
Social media platforms, particularly Twitter, have become essential sources of data for various applications, including marketing and customer service. This study focuses on analyzing customer interactions with Amazon's official support ac…
View article: Machine Learning Model in Digital Marketing Strategies for Customer Behavior: Harnessing CNNs for Enhanced Customer Satisfaction and Strategic Decision-Making
Machine Learning Model in Digital Marketing Strategies for Customer Behavior: Harnessing CNNs for Enhanced Customer Satisfaction and Strategic Decision-Making Open
In the realm of digital marketing for the banking industry, the integration of deep learning methodologies, particularly Convolutional Neural Networks (CNNs) such as VGG16, Resnet50, and InceptionV3, has revolutionized strategic decision-m…
View article: Transforming network security with cloud based solutions: strategies and implication
Transforming network security with cloud based solutions: strategies and implication Open
Cloud computing has significantly enhanced traditional data handling in our era by augmenting computing power, software engineering analytics, and storage capacities. This technology merges internet and computer technologies to transform t…
View article: EFFECTS OF SELECTED COMPANY-SPECIFIC VARIABLES IN THE DETERMINATION OF COMPANY LEVERAGE: EVIDENCE FROM TEXTILE INDUSTRY OF BANGLADESH
EFFECTS OF SELECTED COMPANY-SPECIFIC VARIABLES IN THE DETERMINATION OF COMPANY LEVERAGE: EVIDENCE FROM TEXTILE INDUSTRY OF BANGLADESH Open
The purpose of this study is to investigate the effects of profitability, liquidity, size, tangibility, and asset turnover on the leverage of the textile industry of Bangladesh. This paper analyzed 20 companies out of 56 companies listed i…
View article: Holy Verses in the EFL/ESL Classroom as Literary Text: Teaching Reading
Holy Verses in the EFL/ESL Classroom as Literary Text: Teaching Reading Open
communicates on only one level, usually in terms of information being sought or given' (McRae, 1991) [1] , literary texts use representational language that occupies the learners' imagination, and develops their ability to think in the tar…