Open Access
Text‐based emotion detection: Advances, challenges, and opportunities
Publication type: Journal Article
Publication date: 2020-05-28
scimago Q2
wos Q2
SJR: 0.459
CiteScore: 4.1
Impact factor: 2.0
ISSN: 25778196
General Medicine
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Metrics
217
Total citations:
217
Citations from 2024:
96
(44.45%)
Cite this
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RIS |
BibTex
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GOST
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Acheampong F. A., Chen W., Nunoo‐Mensah H. Text‐based emotion detection: Advances, challenges, and opportunities // Engineering Reports. 2020. Vol. 2. No. 7.
GOST all authors (up to 50)
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Acheampong F. A., Chen W., Nunoo‐Mensah H. Text‐based emotion detection: Advances, challenges, and opportunities // Engineering Reports. 2020. Vol. 2. No. 7.
Cite this
RIS
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TY - JOUR
DO - 10.1002/eng2.12189
UR - https://doi.org/10.1002/eng2.12189
TI - Text‐based emotion detection: Advances, challenges, and opportunities
T2 - Engineering Reports
AU - Acheampong, Francisca Adoma
AU - Chen, Wenyu
AU - Nunoo‐Mensah, Henry
PY - 2020
DA - 2020/05/28
PB - Wiley
IS - 7
VL - 2
SN - 2577-8196
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Acheampong,
author = {Francisca Adoma Acheampong and Wenyu Chen and Henry Nunoo‐Mensah},
title = {Text‐based emotion detection: Advances, challenges, and opportunities},
journal = {Engineering Reports},
year = {2020},
volume = {2},
publisher = {Wiley},
month = {may},
url = {https://doi.org/10.1002/eng2.12189},
number = {7},
doi = {10.1002/eng2.12189}
}