Detecting Personal Intake of Medicine from Twitter

Autor: Jasper Friedrichs, Jing Jiang, Debanjan Mahata, Rajiv Ratn Shah

Publikováno v: IEEE Intelligent Systems. 33:87-95

Mining social media messages such as tweets, blogs, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28ac7282d5c3ba5a4732d5907587ff95
https://doi.org/10.1109/mis.2018.043741326

Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task

Autor: Jasper Friedrichs, Abeed Sarker, Filip Ginter, Maksim Belousov, Saif M. Mohammad, Ramakanth Kavuluru, Debanjan Mahata, Berry de Bruijn, Tung Tran, Anthony Rios, Graciela Gonzalez-Hernandez, Sifei Han, Kai Hakala, Svetlana Kiritchenko, Goran Nenadic, Farrokh Mehryary

Publikováno v: Sarkerb, A, Belousov, M, Friedrichs, J, Hakala, K, Kiritchenko, S, Mehryary, F, Han, S, Tran, T, Rios, A, Kavuluru, R, de Bruijn, B, Ginter, F, Mahata, D, Mohammad, S M, Nenadic, G & Gonzalez-Hernandez, G 2018, ' Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task ', Journal of the American Medical Informatics Association, vol. 25, no. 10, pp. 1274-1283 . https://doi.org/10.1093/jamia/ocy114
Journal of the American Medical Informatics Association : JAMIA

Objective: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f14d401f0df0cb9ceb28081a39ad4c33
https://www.research.manchester.ac.uk/portal/en/publications/data-and-systems-for-medicationrelated-text-classification-and-concept-normalization-from-twitter-insights-from-the-social-media-mining-for-health-smm4h-2017-shared-task(92eccc9d-0d02-49c4-b0b9-7fa138a2ca7d).html

IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets

Autor: Jasper Friedrichs

Publikováno v: SemEval@NAACL-HLT

This paper describes the submission of team IIP in SemEval-2016 Task 4 Subtask A. The presented system is a novel weighted sum ensemble approach for sentiment analysis of short informal texts. The ensemble combines member classifiers that output clas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d41a034b2f8247875ad8d54f715e2fc7
https://doi.org/10.18653/v1/s16-1034