Recently, the number of tweets on COVID-19 are increasing at an unprecedented rate by
including positive, negative and neutral tweets. This diversified nature of tweets has …

COVID-19 pandemic has caused a global health crisis, resulting in endless efforts to reduce
infections, fatalities, and therapies to mitigate its after-effects. Currently, large and fast-paced …

Understanding how to assess the learners' evaluation has become an essential topic for
both academics and practitioners as blended mobile learning applications have proliferated …

Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …

The way that users provide feedback on items regarding their satisfaction varies among
systems: in some systems, only explicit ratings can be entered; in other systems textual …

Emotion is a natural intrinsic state of mind that drives human behavior, social interaction,
and decision-making. Due to the rapid expansion in the current era of the Internet, online …

The goal of this study is to apply machine learning (ML) approaches to assess user
sentiment and predict review ratings for Bangladeshi shopping apps. The data for this study …

In this article, we utilize VADER, a rule-based model, to perform sentiment analysis of tweets
by President Donald Trump during the early spread of the Covid-19 pandemic across the …

We know, one Act has been initiated by the Government of India in September 2020, often
known as Farm Bills or Indian Agricultural Act. This act has been affected farmers in many …

Sažetak Stock market movements, stocks, and exchange rates are the primary subjects and
active areas of research for analysts and researchers. The stock prices is being influenced …