Trending Topics and Existing Issues

2021 ◽  
pp. 357-380
Keyword(s):  
Author(s):  
Agung Eddy Suryo Saputro ◽  
Khairil Anwar Notodiputro ◽  
Indahwati A

In 2018, Indonesia implemented a Governor's Election which included 17 provinces. For several months before the Election, news and opinions regarding the Governor's Election were often trending topics on Twitter. This study aims to describe the results of sentiment mining and determine the best method for predicting sentiment classes. Sentiment mining is based on Lexicon. While the methods used for sentiment analysis are Naive Bayes and C5.0. The results showed that the percentage of positive sentiment in 17 provinces was greater than the negative and neutral sentiments. In addition, method C5.0 produces a better prediction than Naive Bayes.


Author(s):  
Costas Vassilakis ◽  
Dimitra Maniataki ◽  
George Lepouras ◽  
Angeliki Antoniou ◽  
Dimitris Spiliotopoulos ◽  
...  

2015 ◽  
Vol 2 (2) ◽  
pp. 153-166
Author(s):  
Elvi Susanti

Abstract This research is linked with Twitter, as one of social media services on the Internet that are extremely popular in the world, including in Indonesia. This research is important because Twitter is effective in quickly and accurately delivering messages. In fact, everyone can act as a 'reporter' and form quick opinions through this social media. This research is aimed to investigate the emergence of the roots of hegemony based on text analysis that is linked with representation, relation, identity, and transformation of national issues that become trending topics on Twitter. Moreover, the research is to discuss the social media's discourse practice that influences media workers in producing news, and to see how it implicates the research on the study of discourse analysis. By using the Fairclough theory, especially on text analysis that is linked with representation, relation, and identity, the researcher attempts to explore how the roots of hegemony emerge in the national issues that become trending topics on Twitter. The researcher also offers a new function to complete the approach of Fairclough in text analysis on social media: transformation – which is an attempt to see the change in roles of news participants and amateur readers as 'reporters' and participate in forming opinions. Abstrak Penelitian ini berhubungan dengan twitter, sebagai salah satu media sosial di internet yang sangat populer di dunia, termasuk di indonesia. Penelitian ini penting karena twitter efektif dalam menyampaikan pesan dengan cepat dan akurat. Faktanya, semua orang dapat bertindak sebagai "reporter" dan membuat opini yang cepat melalui sosial media tersebut. Penelitian ini bertujuan untuk menyelidiki kemunculan dari akar hagemoni berdasarkan analisis teks yang berhubungan dengan representasi, hubungan, identitas, dan transformasi isu-isu nasional yang menjadi topik yang sedang tren di twitter. Selain itu, penelitian ini juga untuk mendiskusikan praktik wacana media sosial  yang mempengaruhi pekerja media dalam membuat berita, dan untuk melihat bagaimana hal tersebut melibatkan penelitian dalam studi analisis wacana. Dengan menggunakan teori Fairclough, khususnya pada analisis teks yang berhubungan dengan penafsiran, hubungan, identitas, peneliti berupaya untuk menyelidiki bagaimana akar hegemoni muncul yang menjadi topik tren di twitter. Peneliti juga menawarkan sebuah fungsi baru untuk melengkapi pendekatan Fairlclough dalam analisis teks pada sosial media: transformasi - yang merupakan usaha untuk melihat perubahan peran pembuat berita dan pembaca awam sebagai 'reporter' dan berpartisipasi dalam membentuk opini. How to Cite : Susanti, E. (2015). Hegemony of The Social Media Twitter About National Issues in Indonesia and Its Implications to the Discourse Analysis Subject in Colleges. TARBIYA: Journal Of Education In Muslim Society, 2(2), 153-166. doi:10.15408/tjems.v2i2.3180. Permalink/DOI: http://dx.doi.org/10.15408/tjems.v2i2.3180


Author(s):  
Mukesh Kumar Sah., Rishabh Sharma & Amritpal Singh

In social media, Information is present in enormous amount. Extracting data from processed information from social media gives us diverse usages in various fields. In the field of Business Analytics, HealthCare, Technologies and Trending Topics in Social Media posted by the user. Extracting information from social media is providing number of benefits such as knowledge about the latest Technology, Medical field, Business Decisions, etc. Twitter is solitary of the social media which allows the user post tweets of limited number of characters and share the tweet to their followers. Twitter allows application developer to access the tweets for their motive. In the implemented methodology, Tweets are collected, and sentiment analysis is performed on them. Based on the results of sentimental analysis of Trending Topics in Twitter, suggestions can be provided to the user. In this way, the implemented system can help in improving the growth of business, healthcare, technologies and alsoNegative or Positive mentions of a product or service can be determined.


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