Sentiment Analysis (SA) has been a core interest in the field of text mining research, dealing
with computational processing of sentiments, views, and subjective nature of the text. Due to …

As social media is becoming a necessity for communication, a lot of data is available on this
platform, which could be helpful for analysis. At a certain time, we use Twitter to tweet almost …

In today's modern society, social media has seamlessly integrated into our daily routines,
providing a platform for individuals to express their opinions and emotions openly on the …

Social media platforms serve as communication tools where users freely share information
regardless of its accuracy. Propaganda on these platforms refers to the dissemination of …

This research analyzes the sentiment of Twitter users regarding tourism in Indonesia using
the keyword" wonderful Indonesia" as the tourism promotion identity. The aim of this study is …

Sentiment analysis is becoming increasing important with the rise in the amount of content
on social media. However, sentiment analysis remains challenging for under-resourced …

COVID-19 affected the entire world due to the unavailability of the vaccine. The social
distancing was a contributing factor that gave rise to the usage of Online Social Networks. It …

Sentiment analysis is an important part of natural language processing (NLP). This study
evaluated the sentiment of Romanized Sindhi Text (RST) using a hybrid approach and …

In response to the unprecedented shift towards online learning during the COVID-19
pandemic, this study presents an innovative analysis of sentiments expressed in Arabic …

Widespread internet use and the web have brought about new ways of expressing
individual sentiments. A sentiment is defined as an individual's view in which feelings …