Vertaisarvioitu artikkeli konferenssijulkaisussa (A4)
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter
Julkaisun tekijät: Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter
Toimittaja: Abeed Sarker, Graciela Gonzalez
Konferenssin vakiintunut nimi: Social Media Mining for Health Research and Applications
Julkaisuvuosi: 2017
Journal: CEUR Workshop Proceedings
Kirjan nimi *: Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop (SMM4H 2017)
Sarjan nimi: CEUR Workshop Proceedings
Volyymi: 1996
Aloitussivu: 59
Lopetussivun numero: 63
Sivujen määrä: 5
ISSN: 1613-0073
Verkko-osoite: http://ceur-ws.org/Vol-1996/paper11.pdf
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/28245409
We present the results from our participation in the 2nd Social Media Mining for Health Applications Shared Task –
Task 2. The goal of this task is to develop systems capable of recognizing mentions of medication intake in Twitter.
Our best performing classification system is an ensemble of neural networks with features generated by word- and
character-level convolutional neural network channels and a condensed weighted bag-of-words representation. A
relatively strong performance is achieved, with an F-score of 66.3 according to the official evaluation, resulting in the
5th place in the shared task with performance close to the best systems created by other participating teams.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
