A0532
Title: Tweets on childbirth in Japan: Sentiment and influence
Authors: Toshitaka Sekine - Hitotsubashi University (Japan) [presenting]
Abstract: Against the backdrop of Japan's dangerously low fertility rate, sentiment analysis is conducted on Japanese tweets about childbirth using the recent advances of NLP. It is found that these posts are associated with positive arousal (mentally activated) and negative valence (unpleasant). It is also found that more significantly negative posts (higher arousal and lower valence) are more influential.
