Sentiment Analysis Within a Deep Learning Probabilistic Framework – New Evidence from Residential Real Estate in the United States

Publication type: Journal Article
Publication date: 2023-05-17
Taylor & Francis
scimago Q2
SJR: 0.271
CiteScore: 1.1
Impact factor: —
ISSN: 10527001, 26911337
General Medicine
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GOST |
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GOST Copy
Nagl C. Sentiment Analysis Within a Deep Learning Probabilistic Framework – New Evidence from Residential Real Estate in the United States // Journal of Housing Research. 2023. pp. 1-25.
GOST all authors (up to 50) Copy
Nagl C. Sentiment Analysis Within a Deep Learning Probabilistic Framework – New Evidence from Residential Real Estate in the United States // Journal of Housing Research. 2023. pp. 1-25.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1080/10527001.2023.2210776
UR - https://doi.org/10.1080/10527001.2023.2210776
TI - Sentiment Analysis Within a Deep Learning Probabilistic Framework – New Evidence from Residential Real Estate in the United States
T2 - Journal of Housing Research
AU - Nagl, Cathrine
PY - 2023
DA - 2023/05/17
PB - Taylor & Francis
SP - 1-25
SN - 1052-7001
SN - 2691-1337
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Nagl,
author = {Cathrine Nagl},
title = {Sentiment Analysis Within a Deep Learning Probabilistic Framework – New Evidence from Residential Real Estate in the United States},
journal = {Journal of Housing Research},
year = {2023},
publisher = {Taylor & Francis},
month = {may},
url = {https://doi.org/10.1080/10527001.2023.2210776},
pages = {1--25},
doi = {10.1080/10527001.2023.2210776}
}