Mainly news helps people to identify, what happened around them. News is imperative as a
social gathering space as well, subsequently, daily papers either online or physical put an …

COVID-19 is one of the topics that is being discussed intensively. The virus which was
declared a global pandemic on March 11 by WHO caused around 2.09 million Indonesians …

Abstract The Israeli-Palestinian conflict has captured the attention of Indonesians and even
the world for decades, with the death toll reaching 17,000 Palestinians. Indonesians have …

With an exponential rise in the number of cases of Covid-19, researchers have been
painstakingly focused towards developing an effective vaccine. Consequently, there has …

The objective of the chapter is to analyze Twitter data to extract sentiments and opinions in
unstructured text. The team attempted to use contextual text analytics to categorize Twitter …

In the era of big data, the data we analyze is no longer limited to numbers, while even more
data analysis is based on text. Facing massive and complex data, traditional analysis …

Abstract K-Nearest Neighbor (K-NN) and Support Vector Machine (SVM) are classification
methods commonly used in sentiment analysis. Sentiment analysis can be applied to …

Being one of the most linguistically rich languages, Azerbaijani has been researched less in
the context of natural language processing area. The text corpus created from Azerbaijani …

Text classification is an important task which may help human reducing time and effort. This
work is aimed to propose an approach for text classification, especially for articles. The …