The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …

Klasifikasi pada proses text mining dapat dikerjakan dengan menggunakan berbagai jenis
metode klasifikasi yang salah satunya yaitu metode SVM. SVM merupakan singkatan dari …

Kalimat sindiran atau sarkasme masih sering digunakan oleh kalangan publik untuk
mengungkapkan maksud isi hati dan pikiran baik itu yang disampaikan secara langsng …

Research in the field of text mining is now increasingly being carried out because of various
industries and public figures who want to get information related to public opinion about …

Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …

Social media platforms such as Twitter and Facebook have become popular channels for
people to record and express their feelings, opinions, and feedback in the last decades. With …

This paper investigates negative sentiment tweets with the presence of hyperboles for
sarcasm detection. Six thousand and six hundred pre-processed negative sentiment tweets …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Objectives The aim of this study was to assess Iranian tweets in order to:(1) analyze Iranian
views toward COVID-19-vaccination;(2) compare Iranian views toward homegrown and …

Sarcasm detection has emerged due to its applicability in natural language processing
(NLP) but lacks substantial exploration in low-resource languages like Urdu, Arabic, Pashto …