| Abstract |
Discussions on reproductive and sexual health among Malaysians, particularly teenagers, remain considered a taboo. However, knowledge in this field is essential to prevent misunderstandings and promote moral values. Social media, with its collaborative and interactive nature, has become the primary platform for discussions related to this topic. This study finds that there are many keywords related to reproductive and sexual health on social media. However, the lack of a specific lexicon for the local context complicates the understanding of discussions and sentiments shared. As an effort to better understand this issue, a sentiment lexicon has been developed, supported by the LPPKN Analytic initiative (https://lppknanalitik.com/). This platform uses sentiment analysis technology, machine learning, and interactive dashboards to analyze social media data. Posts and comments on social media containing key terms are processed, cleaned, and categorized into three main aspects: Perception, Knowledge, and Behavior. This approach provides a deeper insight into how teenagers communicate about reproductive and sexual health, effectively leveraging the potential of social media data. |
