Xiao-Yang Liu, Shanghong Dai, G. Fiumara, P. D. Meo
{"title":"Target-specific sentiment analysis method combining word-masking data enhancement and adversarial learning","authors":"Xiao-Yang Liu, Shanghong Dai, G. Fiumara, P. D. Meo","doi":"10.1093/comjnl/bxac066","DOIUrl":"https://doi.org/10.1093/comjnl/bxac066","url":null,"abstract":"","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"24 1","pages":"2138-2154"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90188248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Computer-Aided Diagnosis of Diabetic Retinopathy Based on Segmentation and Classification using K-nearest neighbor algorithm in retinal images","authors":"Jaspreet Kaur, Prabhpreet Kaur","doi":"10.1093/comjnl/bxac059","DOIUrl":"https://doi.org/10.1093/comjnl/bxac059","url":null,"abstract":"","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"19 1","pages":"2011-2032"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73503963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amitabha Acharya, Aman Aryan, Sujay Saha, Anupam Ghosh
Coronavirus disease of 2019 (COVID-19) has affected the globe terribly. The rapid spread of this virus and the precautionary measures to prevent it have impacted the lives of all human beings around the world in all dimensions. The anxieties over the virus along with the social restrictions have challenged the mental health and might have acute psychological consequences. In this study, our aim is to analyze whether COVID-19 has done any significant changes to very well-known five-factor personality traits of all the humans all over the world from social media text, such as Twitter. We first train and validate five machine learning models on the benchmark essays dataset and then those models are tested on the preprocessed Twitter dataset, consisting of pre_covid and post_covid tweets. The novelty of this study is to analyze and establish the fact that in this short period of time, COVID-19 cannot make very significant changes in the human personality all over the world. We have compared the performances of five machine learning models and what we have found is that the result provided by one model is also justified by the other models. [ FROM AUTHOR] Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
{"title":"Impact of COVID-19 on the Human Personality: An Analysis Based on Document Modeling Using Machine Learning Tools","authors":"Amitabha Acharya, Aman Aryan, Sujay Saha, Anupam Ghosh","doi":"10.1093/comjnl/bxab207","DOIUrl":"https://doi.org/10.1093/comjnl/bxab207","url":null,"abstract":"Coronavirus disease of 2019 (COVID-19) has affected the globe terribly. The rapid spread of this virus and the precautionary measures to prevent it have impacted the lives of all human beings around the world in all dimensions. The anxieties over the virus along with the social restrictions have challenged the mental health and might have acute psychological consequences. In this study, our aim is to analyze whether COVID-19 has done any significant changes to very well-known five-factor personality traits of all the humans all over the world from social media text, such as Twitter. We first train and validate five machine learning models on the benchmark essays dataset and then those models are tested on the preprocessed Twitter dataset, consisting of pre_covid and post_covid tweets. The novelty of this study is to analyze and establish the fact that in this short period of time, COVID-19 cannot make very significant changes in the human personality all over the world. We have compared the performances of five machine learning models and what we have found is that the result provided by one model is also justified by the other models. [ FROM AUTHOR] Copyright of Computer Journal is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"87 1","pages":"963-969"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81460094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wiselin Jiji Ganasigamony, G. Merlin, Rajesh Athiswamy
{"title":"Assessment and Monitoring of Salinity of Soils After Tsunami in Nagapattinam Area Using Fuzzy Logic-Based Classification","authors":"Wiselin Jiji Ganasigamony, G. Merlin, Rajesh Athiswamy","doi":"10.1093/comjnl/bxab163","DOIUrl":"https://doi.org/10.1093/comjnl/bxab163","url":null,"abstract":"","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"80 1","pages":"333-341"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88170525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Social Media Analysis of Customer Emotions in Pizza Industry","authors":"Muhammad Umar Nasir, Urva Rehmat, Imran Ahmad","doi":"10.1093/comjnl/bxac042","DOIUrl":"https://doi.org/10.1093/comjnl/bxac042","url":null,"abstract":"","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"28 1","pages":"1777-1783"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82577335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanwei Zhou, Zhaolong Wang, Zirui Qiao, Y. Wang, Bo Yang, Y. Mu, Mingwu Zhang
{"title":"Identity-Based Encryption With Continuous Leakage-Resilient CCA Security From Static Complexity Assumption","authors":"Yanwei Zhou, Zhaolong Wang, Zirui Qiao, Y. Wang, Bo Yang, Y. Mu, Mingwu Zhang","doi":"10.1093/comjnl/bxab205","DOIUrl":"https://doi.org/10.1093/comjnl/bxab205","url":null,"abstract":"","PeriodicalId":21872,"journal":{"name":"South Afr. Comput. J.","volume":"75 1","pages":"924-940"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74412495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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