Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.

Haiyang Wang|Ye Wang|Xin Song|Bin Zhou|Xuechen Zhao|Feng Xie


Anthology ID:DBLP:journals/www/WangWSZZX23
Year:2023
Venue:World Wide Web (WWW)
Pages:3607-3632
URL:https://doi.org/10.1007/S11280-023-01191-X
DOI:https://doi.org/10.1007/S11280-023-01191-X
DBLP:journals/www/WangWSZZX23
BibTeX:
@article{wang-2023-quantifying, author = {Haiyang Wang and Ye Wang and Xin Song and Bin Zhou and Xuechen Zhao and Feng Xie}, title = {{Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset}}, journal = {World Wide Web (WWW)}, volume = {26}, number = {5}, pages = {3607--3632}, year = {2023}, url = {https://doi.org/10.1007/S11280-023-01191-X}, doi = {https://doi.org/10.1007/S11280-023-01191-X} }