Aspect-based sentiment analysis (ABSA) aims to mine multiple sentiment–target pairs
contained in a review sentence. The main challenge of this task is how to extract the …

This study, using the Naïve Bayes classifier, proposes a new descriptive model for
conducting a comparative review analysis on the tourism domain. The proposed model …

Using deep learning, a new sentiment analysis model is designed in our article. The original
data (input) is first pre-processed by stemming, stop-word removal, and tokenization. The …

Every day, people all over the world use social networking sites to express their thoughts on
a broad range of issues. amongst the most well-known social networking sites is “Facebook” …

This research examines sentiment analysis in the context of crime intent using machine
learning algorithms. A comparison is made between a crime intent dataset generated from a …

The popularity of current communication technologies has boosted the spread of
polarization and radical ideologies, which can be exploited by terrorist organizations …

Understanding radicalization pathways, drivers, and factors is essential for the effective
design of prevention and counter-radicalization programs. Traditionally, the primary …

Tsundoku is a Python toolkit for analyzing social media data, focusing on text and network
analysis. It offers user classification, bot detection, community identification, and topic …

At least 350k posts are published on X, 510k comments are posted on Facebook, and 66k
pictures and videos are shared on Instagram each minute. These large datasets require …

This paper proposes video transcription using python language. With the adding quantum of
videotape data generated every day, it has come important to epitomize the videos for faster …