The study proposes a novel model for DNA sequence classification that combines machine
learning methods and a pattern-matching algorithm. This model aims to effectively …

The analysis of consumer sentiment, as expressed through reviews, can provide a wealth of
insight regarding the quality of a product. While the study of sentiment analysis has been …

In this study, we present a Bangla multi-domain sentiment analysis dataset, named as
SentiGOLD, developed using 70,000 samples, which was compiled from a variety of sources …

The utilization of sentiment analysis has gained significant importance as a valuable method
for obtaining meaningful insights from textual data. The research progress in languages …

Sentiment analysis, the process of determining the emotional tone of a text, is essential for
comprehending user opinions and preferences. Unfortunately, the majority of research on …

Sentiment analysis represents a contemporary approach in Natural Language Processing
used to determine the sentiment of a user. Bangla music, with its unique rhythms, melodies …

Banking has become an integral part of our lives. Fintech (Financial Technology)
skyrocketed the number of people willing to use Mobile Financial Services (MFS) for their …

Student dropout is a pervasive problem in the education system, with a significant number of
students failing to complete their studies due to various reasons such as academic …

Sentiment analysis has gained significant interest from multiple perspectives due to the rise
of user interactions on social media and the web. It assists people in choosing the best …

Due to the massive production of data, the time series dataset is useful for time-based
prediction as it holds time related information. Different forecasting techniques help to …