Sentiment classification of social media posts is among the most challenging and time-
consuming tasks for analysts. This is particularly true when applied to languages that …

The number of reviews from customers on travel websites and platforms is quickly
increasing. They provide people with the ability to write reviews about their experience with …

Leveraging sentiment analysis on social media reveals hidden emotional trends by
providing deep insights into the public's collective opinions and feelings because social …

Sentiment analysis is becoming a very popular research technique. It can effectively identify
hidden emotional trends in social networks to understand people's opinions and feelings …

The analysis of the unstructured text has become a challenge for the community dedicated
to natural language processing (NLP) and Machine Learning (ML). This paper aims to …

The research herein applies text classification with which to categorize Khmer news articles.
News articles were collected from three online websites through web scraping and grouped …

Sentiment analysis presents unique challenges in hotel reviews, particularly in languages
like Thai, renowned for nuanced expressions. Understanding customer opinions is pivotal …

The volume of customer reviews on e-commerce platforms is experiencing a rapid surge.
Low-resource languages like Thai face challenges in sentiment polarity classification. With …

Sentiment analysis, a subfield of natural language processing (NLP) has witnessed
significant advancements in the analysis of usergenerated contents across diverse …

Social media had become popular over last decades and the users share their information
to others, chats with their friends, families, and others about personal events, information …