2019
DOI: 10.1007/s11042-019-7691-4
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Multimodal approach for tension levels estimation in news videos

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Cited by 9 publications
(2 citation statements)
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“…The authors upload the two documents to Wmatrix 5 2 to obtain the emotional semantic tagging of them. And 10 tagged news texts are randomly selected from CC and AC respectively, and they are manually checked by two authors, the two authors cross-review and negotiate the emotional semantic tagging of these 20 texts, and calculate the emotional semantic tagging accuracy of Wmatrix 5 by means of the tagging accuracy formula introduced by Pereira et al (2019: 23,797). The formula is as following: the accuracy ratio of emotional semantic tagging is equal to (TP + TN)/(TP + TN + FP + FN), where TP is the numbers of emotional words correctly tagged by the software, TN is the numbers of the words that are correctly tagged as non-emotional words by the software, FP is the numbers of the non-emotional words that are incorrectly tagged as emotional words, and FN is the numbers of the emotional words that are incorrectly tagged as non-emotional words.…”
Section: The Construction Of Socio-emotional Theorymentioning
confidence: 99%
See 1 more Smart Citation
“…The authors upload the two documents to Wmatrix 5 2 to obtain the emotional semantic tagging of them. And 10 tagged news texts are randomly selected from CC and AC respectively, and they are manually checked by two authors, the two authors cross-review and negotiate the emotional semantic tagging of these 20 texts, and calculate the emotional semantic tagging accuracy of Wmatrix 5 by means of the tagging accuracy formula introduced by Pereira et al (2019: 23,797). The formula is as following: the accuracy ratio of emotional semantic tagging is equal to (TP + TN)/(TP + TN + FP + FN), where TP is the numbers of emotional words correctly tagged by the software, TN is the numbers of the words that are correctly tagged as non-emotional words by the software, FP is the numbers of the non-emotional words that are incorrectly tagged as emotional words, and FN is the numbers of the emotional words that are incorrectly tagged as non-emotional words.…”
Section: The Construction Of Socio-emotional Theorymentioning
confidence: 99%
“…At present, the researches on discoursal emotions in news mainly involve recognition (Li et al, 2019: 746; Pereira et al, 2019: 23783), functions (Lee and Chen, 2021: 504; Ming and Ma, 2022: 37), and characteristics (Joa and Yun, 2022: 1449; Sing Bik Ngai et al, 2022: 572) of the discoursal emotions. Most of these researches are based on computerized statistical models, and not many scholars construct the theories specifically for the researches on discoursal emotions (Zhang, 2022: 74).…”
Section: Introductionmentioning
confidence: 99%