| Abstrakt: |
Indonesia is a country that has a large Muslim population. The country has many religions, such as Islam, Christianity, Buddhism, Confucianism, and Hindi, but Muslims are the majority. Many Indonesia people who embraced Islam, they need a role model such as a Muslim religious figure who can teach religious studies, be moderate, tolerance, respect differences of opinion and belief, be sociable, be fair, and not be extreme. The problem is that currently the notions of extremism, radicalism, and terrorism are spread by religious figures through social media where the target is mostly young people to adults. Therefore, this study proposes to explore tweets uploaded by Indonesian Muslim religious figures or certain communities on Twitter that lead to moderate or radicalism. Text visualization analysis and word cloud were used to reveal all the things hidden behind the tweet. The data collection is obtained through Twitter's API (Application Programming Interface) authentication using the Consumer Key, Consumer Secret, access token, and access token secret. The polarity scores of each tweet are applied using VADER sentiment analyzer to get the polarity, subjectivity, and sentiment labels. The words are conveyed by the two Muslim religious figures with the highest frequency of words were quite positive. The word frequency of Muslim religious figure A and B tweets which conveys the word such as bless (370), Allah (250), good (237), and upon (204), God (102), Islam (48), Muslim (41), and love (36). However, we found some use of vocabulary related to radicalism as found in Muslim religious figure B such as caliphate (17), radical (13), migrate (hijrah) (13), terror (10), terror (7), and caliph (7) which the keywords in 1-gram. The difference percentage of between both Muslim Religious Figure A and B for positive sentiment are 12.56%, neutral sentiment are 17.77%, and negative sentiment are 5.2%. Total Muslim Religious Figure A Tweets is 999, while the total Muslim Religious Figure B Tweets is 1274. The use of morphological vocabulary from Muslim religious figure B about accusations of radicalism have a relation with Muslim religious figure B tweets. For the next research, the analysis is not only limited based on the morphology of the word but based on the intent and implicit meaning of the sentence. [ABSTRACT FROM AUTHOR] |
