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 …

Twitter is a social media platform where over 500 million people worldwide publish their
ideas and discuss diverse topics, including their health conditions and public health events …

Pertumbuhan twitter terus meningkat setiap waktu, sehingga hal tersebut dimanfaatkan para
pengguna twitter untuk menyampaikan informasi berupa kritik maupun saran kepada …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

Abstract Concept-based sentiment analysis (CBSA) methods have gained prominence in
natural language processing in recent years. These methods consider the underlying …

Sentiment analysis is one of the prominent fields of data mining that deals with the
identification and analysis of sentimental contents generally available at social media …

Abstract Development on Rinca Island by the Indonesian Government has received a lot of
reaction from the community. Masses expressed their opinion through social media …

Abstract Twitter Sentiment Analysis is the way of identifying sentiments and opinions in
tweets. The main computational steps in this process are determining the polarity or …

COVID-19 caused a significant public health crisis worldwide and triggered some other
issues such as economic crisis, job cuts, mental anxiety, etc. This pandemic plies across the …

Mining opinions and analyzing sentiments from social network data help in various fields
such as even prediction, analyzing overall mood of public on a particular social issue and so …