An Ensemble Neural Network Model for Benefiting Pregnancy Health Stats from Mining Social Media

Neha Warikoo, Yung Chun Chang, Hong Jie Dai, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)


Extensive use of social media for communication has made it a desired resource in human behavior intensive tasks like product popularity, public polls and more recently for public health surveillance tasks such as lifestyle associated diseases and mental health. In this paper, we exploited Twitter data for detecting pregnancy cases and used tweets about pregnancy to study trigger terms associated with maternal physical and mental health. Such systems can enable clinicians to offer a more comprehensive health care in real time. Using a Twitter-based corpus, we have developed an ensemble Long-short Term Memory (LSTM) – Recurrent Neural Networks (RNN) and Convolution Neural Networks (CNN) network representation model to learn legitimate pregnancy cases discussed online. These ensemble representations were learned by a SVM classifier, which can achieve F1-score of 95% in predicting pregnancy accounts discussed in tweets. We also further investigate the words most commonly associated with physical disease symptoms ‘Distress’ and negative emotions ‘Annoyed’ sentiment. Results from our sentiment analysis study are quite encouraging, identifying more accurate triggers for pregnancy sentiment classes.

主出版物標題Information Retrieval Technology - 14th Asia Information Retrieval Societies Conference, AIRS 2018, Proceedings
編輯Lun-Wei Ku, Jui-Feng Yeh, Liang-Chih Yu, Yuen-Hsien Tseng, Zhi-Hong Chen, Tetsuya Sakai, Jing Jiang, Lung-Hao Lee, Dae Hoon Park
發行者Springer Verlag
出版狀態已發佈 - 一月 1 2018
事件14th Asia Information Retrieval Societies conference, AIRS 2018 - Taipei, 臺灣
持續時間: 十一月 28 2018十一月 30 2018


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11292 LNCS


會議14th Asia Information Retrieval Societies conference, AIRS 2018

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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