The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …

The rapid growth of Twitter usage attracts many researchers to utilize Twitter data for several
purposes, including emotion analysis. However, there is a resource limitation in standard …

This paper presents Indonesian text emotion detection and evaluates the performances of
four different classification methods: Naive Bayes (NB), J48, K-Nearest Neighbor (KNN) and …

Purpose The purpose of this paper is to propose a framework for intelligent analysis of
Twitter data. The purpose of the framework is to allow users to explore a collection of tweets …

In a learning environment, emotional factors influence student motivation. Students emotion
have an important role in students' capability to learn. The tendency of the students emotion …

Twitter is one of the social networks that attract many Indonesian people because it is
considered as a medium to express opinions and feelings about certain topic. Twitter …

In this paper we face the problem of intelligently analyze Twitter data. We propose a novel
workflow based on Nonnegative Matrix Factorization (NMF) to collect, organize and analyze …

The connected society we live in today has allowed online users to willingly share opinions
on an unprecedented scale. Motivated by the advent of mass opinion sharing, it is then …

One of the difficult areas of automatic language understanding is emotion detection.
Research related to emotion detection in text is important to be developed so that emotion in …