Table · dataset · 2022
Classification of online health messages
Listed in INESC TEC Research Data Repository
Description
Classification of online health messages The dataset has 487 annotated messages taken from Medhelp, an online health forum with several health communities (medhelp.org/). It was built in a master thesis entitled "Automatic categorization of health-related messages in online health communities" of the Master in Informatics and Computing Engineering of the Faculty of Engineering of the University of Porto. It expands a dataset created in a previous work [see Relation metadata] whose objective was to propose a classification scheme to analyze messages exchanged in online health forums.
A website was built to allow the classification of additional messages collected from Medhelp. After using a Python script to scrape the five most recent discussions from popular forums (medhelp.org/forums/list), we sampled 285 messages from them to annotate. Each message was classified three times by anonymous people in 11 categories from April 2022 until the end of May 2022.
Read the rest (2 more)
For each message, the rater picked the categories associated with the message and its emotional polarity (positive, neutral, and negative). Our dataset is organized in two CSV files, one containing information regarding the 885 (=3*285) classifications collected via crowdsourcing (CrowdsourcingClassification.csv) and the other containing the 487 messages with their final and consensual classifications (FinalClassification.csv).
The readMe file provides detailed information about the two .csv files.
Links
Get the data
- readMe rdm.inesctec.pt/dataset/6571d6a0-0e0c-416c-be23-e12bbbb0ecf2/resource/8f1d5da7… ↗
download · from rdm inesctec pt
- Crowdsourcing Classification rdm.inesctec.pt/dataset/6571d6a0-0e0c-416c-be23-e12bbbb0ecf2/resource/5f321bdd… ↗
download · from rdm inesctec pt
- Final Classification rdm.inesctec.pt/dataset/6571d6a0-0e0c-416c-be23-e12bbbb0ecf2/resource/2d9ae907… ↗
download · from rdm inesctec pt
Where it is published
- INESC TEC Research Data Repository dataset page rdm.inesctec.pt/dataset/cs-2022-008 ↗
landing page · from rdm inesctec pt
Catalogue records · 1
- CKAN API rdm.inesctec.pt/api/3/action/package_show?id=6571d6a0-0e0c-416c-be23-e12bbbb0e… ↗
metadata API · from rdm inesctec pt
Topics
- Stated by source
- CS: Computer Science
- From keywords
- Computer Science & AI · Engineering · Medicine & Health
- Inferred from text
- Health services and systems 70%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| INESC TEC Research Data Repository | 6571d6a0-0e0c-416c-be23-e12bbbb0ecf2 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].anzsrc:group:4203 | enrichment · rdm inesctec pt | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:computer-science-ai | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:engineering | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| concepts[topic].ckan_group:rdm_inesctec_pt:cs-computer-science | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| created_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| description | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /notes |
| license_text | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| publication_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | |
| title | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 | /title |
| updated_date | source · rdm inesctec pt | connector:rdm_inesctec_pt@1.0.0 |