Currently, the establishment of legal act in cyberspace is the inevitable consequence of globalization to ensure the legal certainty of the people who interacting within internet. With the number of legal infringement in cyberspace increasing each day, the needs of internet regulation have becoming a world concern. Indonesia is one of top ranking country with high number of internet users, which want to safeguard the public interest with a comprehensive law through “Undang-Undang Informasi dan Transaksi Electronik” (UU ITE). Therefore, the current use of this act is retrieving the diverse feedback and responses from citizens in Indonesia since it was signed or after the amendment for several aspects. The availability of social media networking enables them to react to the subject concerning legal issues within internet. Thus, this research work used text mining technique to find out the perceived issues, challenges, and benefits of ITE implementation from citizens’ opinions, comments, and perceptions in social media of Twitter. The result of this study grouped into two main topics; legal consequences and precedence.


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    Title :

    The Text Mining Analysis Approach for Electronic Information and Transaction (ITE) Implementation Based on Sentiment in the Social Media


    Additional title:

    Lect. Notes in Networks, Syst.




    Publication date :

    2023-01-01


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English






    Machine Learning Approaches for Sentiment Analysis in Social Media Data

    Thenappan, S. / Krishnan, Anju R / Murugan, P. Sundara Bala et al. | IEEE | 2023