TY - GEN
T1 - Why Do They Leave
T2 - 4th ACM Workshop on Natural Language Processing for Social Media, SocialNLP 2016, associated with the Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
AU - Sadeque, Farig
AU - Pedersen, Ted
AU - Solorio, Thamar
AU - Shrestha, Prasha
AU - Rey-Villamizar, Nicolas
AU - Bethard, Steven
N1 - Publisher Copyright:
© 2016 Association for Computational Linguistics
PY - 2016
Y1 - 2016
N2 - Depression is a major threat to public health, accounting for almost 12% of all disabilities and claiming the life of 1 out of 5 patients suffering from it. Since depression is often signaled by decreasing social interaction, we explored how analysis of online health forums may help identify such episodes. We collected posts and replies from users of several forums on healthboards.com and analyzed changes in their use of language and activity levels over time. We found that users in the Depression forum use fewer social words, and have some revealing phrases associated with their last posts (e.g., cut myself). Our models based on these findings achieved 94 F1 for detecting users who will withdraw from a Depression forum by the end of a 1-year observation period.
AB - Depression is a major threat to public health, accounting for almost 12% of all disabilities and claiming the life of 1 out of 5 patients suffering from it. Since depression is often signaled by decreasing social interaction, we explored how analysis of online health forums may help identify such episodes. We collected posts and replies from users of several forums on healthboards.com and analyzed changes in their use of language and activity levels over time. We found that users in the Depression forum use fewer social words, and have some revealing phrases associated with their last posts (e.g., cut myself). Our models based on these findings achieved 94 F1 for detecting users who will withdraw from a Depression forum by the end of a 1-year observation period.
UR - https://www.scopus.com/pages/publications/85034785373
UR - https://www.scopus.com/pages/publications/85034785373#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:85034785373
T3 - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the 4th International Workshop on Natural Language Processing for Social Media, SocialNLP 2016
SP - 14
EP - 19
BT - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the 4th International Workshop on Natural Language Processing for Social Media, SocialNLP 2016
PB - Association for Computational Linguistics (ACL)
Y2 - 1 November 2016 through 1 November 2016
ER -