To see the invisible : an empirical comparison of methods for text-based sentiment analysis of online contents from people with autism spectrum condition
Kuan-Chou Ko, Shian-Ko Liu, Chih-Ping Wei, Jia-Shiuan Hsieh, and Ren-Han Yang
| Year of publication: |
2023
|
|---|---|
| Authors: | Ko, Kuan-Chou ; Liu, Shian-Ko ; Wei, Chih-Ping ; Hsieh, Jia-Shiuan ; Yang, Ren-Han |
| Published in: |
International journal of market research. - Thousand Oaks, CA : Sage Publishing, ISSN 2515-2173, ZDB-ID 2066720-6. - Vol. 65.2023, 4, p. 402-422
|
| Subject: | autism spectrum condition | AI-enabled coding method | machine learning | sentiment analysis | user-generated data |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1177/14707853231158605 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014322077