Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …

Nowadays, the use of social media to analyze disaster responses has become important.
However, its application to support decision-making by the Government during disasters still …

An immense volume of user-generated content exists online due to the exponential growth
of internet usage among individuals. However, this abundance presents substantial …

Sentiment analysis of short texts is challenging because of its limited context of information.
It becomes more challenging to be done on limited resource language like Bahasa …

The goal of opinion mining is to extract the sentiment, emotions, or judgement of reviews
and classified it. These reviews are very important because they can affect the decision …

In this work, we conduct sentiment analysis on Indonesian-Sundanese code-mixed tweets.
Sundanese is one of Indonesia's regional languages with over 42.000. 000 speakers. We …

In the contemporary era, social media platforms amass an extensive volume of social data
contributed by their users. In order to promptly grasp the opinions and emotional inclinations …

Twitter adalah media sosial populer di internet, berkat Twitter pengguna dapat berbagi
opini, pemikiran, dan berinteraksi dengan pengguna lain. Tentu saja, seiring …

Millions of people in the world shared their thoughts on products and services in different
mediums. Social media is one of the avenues through which people express their opinions …

Klasifikasi merupakan salah satu proses pada data mining. Ada banyak jenis dalam
pengunaan algoritma klasifikasi dalam data mining. Pada penelitian ini peneliti ingin …