The Positive Effect of PMI on the Selection of Meaningful Words

Toprak, Ahmet Nusret; Turan, Meti̇n

doi:10.23919/eleco47770.2019.8990666

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…The SO-PMI algorithm [47] , [48] , [49] is mainly used to determine the degree of correlation between words. We employ it to compute the mutual information between words by Eq.…”

Section: Implementationsmentioning

confidence: 99%

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2019nCoVAS: Developing the Web Service for Epidemic Transmission Prediction, Genome Analysis, and Psychological Stress Assessment for 2019-nCoV

Xiao

Liu

Xie

et al. 2021

IEEE/ACM Trans. Comput. Biol. and Bioinf.

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Since the COVID-19 epidemic is still expanding around the world and poses a serious threat to human life and health, it is necessary for us to carry out epidemic transmission prediction, whole genome sequence analysis, and public psychological stress assessment for 2019-nCoV. However, transmission prediction models are insufficiently accurate and genome sequence characteristics are not clear, and it is difficult to dynamically assess the public psychological stress state under the 2019-nCoV epidemic. Therefore, this study develops a 2019nCoVAS web service (http://www.combio-lezhang.online/2019ncov/home.html) that not only offers online epidemic transmission prediction and lineage-associated underrepresented permutation (LAUP) analysis services to investigate the spreading trends and genome sequence characteristics, but also provides psychological stress assessments based on such an emotional dictionary that we built for 2019-nCoV. Finally, we discuss the shortcomings and further study of the 2019nCoVAS web service.

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“…The SO-PMI algorithm [47] , [48] , [49] is mainly used to determine the degree of correlation between words. We employ it to compute the mutual information between words by Eq.…”

Section: Implementationsmentioning

confidence: 99%

“…Here, the high mutual information indicates a high probability for the co-occurrence of two emotional words in many texts. We also introduced the Semantic Orientation (SO) [48] to determine whether a certain emotional word W is positive or negative by Eq. (10) .…”

Section: Implementationsmentioning

confidence: 99%