| Abstract |
Discussion on reproductive and sexual health among Malaysians, particularly adolescents, is still considered taboo. However, knowledge in this area is crucial to avoid misunderstandings and promote moral values. Social media, with its collaborative and interactive nature, has become the main platform for discussions on these topics. This study found 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 makes it difficult to understand the discussions and sentiments shared.
To better understand this issue, a sentiment lexicon has been developed, supported by the LPPKN Analytics initiative (https://lppknanalitik.com/). This platform uses sentiment analysis technology, machine learning, and interactive dashboards to analyze social media data. Tweets and comments on social media that contain key keywords are processed, cleaned, and categorized into three main aspects: Perception, Knowledge, and Behavior. This approach provides deeper insights into how adolescents communicate about reproductive and sexual health, effectively utilizing the potential of social media data. |
