Sentiment Classification of Indonesian Emotion Related to Vaccination Event using LSTM DOI
Lathifah Alfat, Mohammad Nasucha, Nur Uddin

et al.

2022 IEEE World AI IoT Congress (AIIoT), Journal Year: 2023, Volume and Issue: unknown, P. 0825 - 0829

Published: June 7, 2023

Since 2021, Indonesians had access to the covid-19 vaccination. International programs help fund vaccination program in Indonesia. Subsequently, Indonesian government organizes distribution events stages. Vaccination began with President Joko Widodo's first vaccination, followed by of elderly (more than 60 years old), then children (6 12 and booster In every event respond this news. The amount information on social media expands, so does number reacting tweets. This study took 1000 rows data about from Twitter. Then, we pre-processed before labeling it based psychological emotion using Text2emotion. Finally, classified tweets Long Short Term Memory (LSTM) algorithm Python. conclusion, could summarize best LSTM model training: testing 80:20, epoch = 20, batch size 100, results accuracy 98,12% for 99,25% 99,62%

Language: Английский

Sentiment Classification of Indonesian Emotion Related to Vaccination Event using LSTM DOI
Lathifah Alfat, Mohammad Nasucha, Nur Uddin

et al.

2022 IEEE World AI IoT Congress (AIIoT), Journal Year: 2023, Volume and Issue: unknown, P. 0825 - 0829

Published: June 7, 2023

Since 2021, Indonesians had access to the covid-19 vaccination. International programs help fund vaccination program in Indonesia. Subsequently, Indonesian government organizes distribution events stages. Vaccination began with President Joko Widodo's first vaccination, followed by of elderly (more than 60 years old), then children (6 12 and booster In every event respond this news. The amount information on social media expands, so does number reacting tweets. This study took 1000 rows data about from Twitter. Then, we pre-processed before labeling it based psychological emotion using Text2emotion. Finally, classified tweets Long Short Term Memory (LSTM) algorithm Python. conclusion, could summarize best LSTM model training: testing 80:20, epoch = 20, batch size 100, results accuracy 98,12% for 99,25% 99,62%

Language: Английский

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