The sentiment analysis of Twitter data has gained much attention as a topic of research. The
ability to obtain information about a public opinion by analyzing Twitter data and …

Feature extraction is to transform a text document from any format into a list of features that
can be easily processed by text classification techniques. Feature extraction is one of …

Nowadays, topic detection from Twitter attracts the attention of several researchers around
the world. Different topic classification approaches have been proposed as a result of these …

The problem of automatic detection of fake news in social media, eg, on Twitter, has recently
drawn some attention. Although, from a technical perspective, it can be regarded as a …

Twitter data sentiment analysis has gained considerable attention as a research topic. The
ability to obtain information about a public opinion by analyzing Twitter data and …

Who does not know that Twitter is an august social networking podium now? Here the folks
around the globe are able to establish their viewpoints. Every day, almost 500 million tweets …

On Twitter, people from all parts of the planet will build their opinions and take feed from the
opinions, which produces around five hundred million tweets daily that amount to 8TB of …

Short-text classification is a challenging task, due to the sparsity and high dimensionality of
the feature space. In this study, we aim to analyze and classify Turkish tweets based on their …

Over a period of more than two years the public health has been experiencing legitimate
threat due to COVID-19 virus infection. This article represents a holistic machine learning …

Disaster monitoring based on social media posts has raised a lot of interest in the domain of
computer science the last decade, mainly due to the wide area of applications in public …