Faculty Publications

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    An Improved Method for Disease Prediction Using Fuzzy Approach
    (Institute of Electrical and Electronics Engineers Inc., 2015) Chetty, N.; Vaisla, K.S.; Patil, N.
    Data mining is a process of extracting useful information from the huge amount of data. Data Mining has great scope in the field of medicine. This article deals with the working on PIMA and Liver-disorder datasets. Many researchers have proposed the use of K-nearest neighbor (KNN) algorithm for diabetes disease prediction. Some researchers have proposed a different approach by using K-means clustering for preprocessing and then using KNN for classification. These approaches resulted in poor classification accuracy or prediction. In our work we proposed and developed two different methods first one is fuzzy c-means clustering algorithm followed by a KNN classifier and second one is fuzzy c-means clustering algorithm followed by fuzzy KNN classifier to improve the accuracy of classification. We are successful in obtaining the better results than the existing methods for the given datasets. Our second approach produced better result than the first one. Classification is carried out using ten folds cross-validation technique. © 2015 IEEE.
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    Trigger Event and Hate Content: Insights from Twitter Analytics
    (Institute of Electrical and Electronics Engineers Inc., 2019) Chetty, N.; Alathur, S.
    The problematic act damages the target and seeds the fear in the neighborhood. Social media sites are used for planning and coordinating problematic acts. The problematic act is a trigger event which influences hatred feeling. The objective of the paper is to analyze the aftermath of a recent problematic incident in the southern part of the Asian continent from Twitter content. After the problematic incident, citizens used to share their views over social media sites. A total of 48,819 opinions shared through Twitter social media are collected and analyzed using the software developed in the R programming language. The results show hatred against the problematic act through different related emotions. Results also contain more negative tweets which are almost thrice the positive tweets. Fear and anger emotions exhibit a high degree of emotions than the other. © 2019 IEEE.
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    Policies to Mitigate Select Consequence of Social Media: Insights from India
    (Springer, 2020) Chetty, N.; Alathur, S.
    Apart from the benefits to humanity, often, social media possess consequences such as online hate content, fake news, online abuse, cyber-bullying and other demeaning expressions. As the increased hate content causes several health issues, it is necessary to mitigate it. Hate content mitigation may attain sustainable development goals of United Nations. Therefore, the objective of the article is to identify the possible policies to mitigate social media consequence-online hate content. In this regard, online and offline opinions from the Indian respondents are gathered through the questionnaire designed for the purpose. The software which is developed in R programming language is used to analyse opinions. The analysis results reveal the role of government and non-government authorities for digital hate content reduction. The non-governmental communities-civil societies, private sectors, and intermediaries are more important to reduce digital hate content. © 2020, Springer Nature Singapore Pte Ltd.
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    Child Online Safety Intervention Through Empowering Parents and Technical Experts: Indian Context
    (Springer Science and Business Media Deutschland GmbH, 2020) Andrews, D.; Alathur, S.; Chetty, N.
    Child online safety is a state of being protected from online problematic content and environment. Purpose of this study is to examine the stakeholders’ empowered status influence on child online safety. Using questionnaires survey responses on relational aspects of stakeholder empowerment and child online safety is collected from parents and technical experts who were working with the Internet safety. The responses are analyzed with the help of SPSS software and the results are examined for influencing factors of child online safety. Restricting resources, blocking at different levels and parental control are the different influencing factors of child online safety. As the parental control influencing factor exists with both the models of parents and technical experts initiated, it plays an important role in attaining child online safety. The influencing factors which are observed from the study can be emphasized to control child online threats and provide online safety. © 2020, IFIP International Federation for Information Processing.
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    Developing Indian Smart Cities: Insights from Social Media
    (Springer Science and Business Media Deutschland GmbH, 2020) Chetty, N.; Alathur, S.
    Smart cities play an important role in overall development of a nation by progressing with economic, environmental and social domains. India has projected to create 100 smart cities in near future. The purpose of the paper is to identify the key influencing components and the social media users’ expectations for smart cities development in India. The Twitter social media content of smart cities council and the user posts on smart cities are collected through Twitter application programming interface. The collected tweets are cleaned by pre-processing methods and analyzed for insights. Technology, infrastructure, innovation, transport, mobility and management are the key influencing components for smart cities development in India. The social media users are expecting to emphasize on combating the issues like Covid-19 and use of IoT technology for the success of smart cities project. The integration of different components could increase the success of the project. The analysis of the content shared by the groups (smart cities council and the social media users) which are at different sides of smart cities’ development project, increases the novelty of the study. © 2020, IFIP International Federation for Information Processing.
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    2019-nCoV disease control and rehabilitation: Insights from twitter analytics
    (Institute of Electrical and Electronics Engineers Inc., 2020) Chetty, N.; Alathur, S.; Kumar, V.
    Coronaviruses are the large family of viruses and life threatening with the capabilities to cause respiratory related diseases. The current outbreak of 2019-nCoV (novel Coronavirus) is challenging governance authorities and health care systems around the globe. The epidemic of 2019-nCoV is affecting people globally. The purpose of this paper is to examine the current status of disease control and rehabilitation in relation to outbreak of 2019-nCoV. In this regard, the Twitter social media contents are collected, analyzed and interpreted. Using a set of appropriate keywords, 110000 tweets are extracted from Twitter social media. The collected tweets are first pre-processed and then analyzed with a software developed in R language. The discussions on social media in relation to the outbreak of 2019-nCoV involves disease control, rehabilitation and anti-rehabilitation. Expressions involving specific locations revealed that the discussions are more oriented towards antirehabilitation than rehabilitation and disease control. The content analysis also revealed that the outbreak epidemic victimizes those who possess weaker immune system. © 2020 IEEE.
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    Child online safety in indian context
    (Institute of Electrical and Electronics Engineers Inc., 2020) Andrews, D.; Alathur, S.; Chetty, N.; Kumar, V.
    Children initiates the usage of Internet during young age and spend more time online. Apart from the benefits like improved education, entertainment, news and gaming, Internet poses severe threats to the children online. Ensuring online safety is a global challenge. The purpose of this paper is to examine online social media responses and awareness posts on children online safety. In this relation, Twitter social media responses after freeing the accusers of children sexual harassment and Facebook pages of some prominent personalities in India for online safety are analyzed. The results reveal that though the people are angry and fearful, they believe judiciary and police system and expecting safety from the same. The analysis of Facebook posts depicts that the concerned authorities are active towards child online safety and providing awareness through their representatives. People demand legal actions against the perpetrators of the crime to punish them. The necessary actions should be taken for cyber-crime awareness information to reach all social media users. © 2020 IEEE.
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    Computational Analysis of Online Hate Content using Cognitive -AI
    (Institute of Electrical and Electronics Engineers Inc., 2021) Chetty, N.; Alathur, S.; Andrews, D.; Kumar, V.
    As the hate content is expressed based on the identity of an individual, it is influencing communal violence in society. The inappropriate content can be detected and analyzed using automated AI systems. The purpose of this paper is to study the role of AI systems in the detection of online hate content and how the cognitive processes affect the behavior of an individual. Therefore, using related keywords in the research domain, the published articles are searched through different search engines. The information from the associated articles and sources is reported in the paper. The literature review revealed that social media platforms could use AI systems to detect and analyze online hate content. It has been observed that the cognitive process affects both the perpetrators and the victims of online hate content. The paper also highlights some of the challenges in controlling online hate content. The paper concludes with a note that the hate content can be reduced by building robust AI systems and healthier cognitive processes of an individual. © 2021 IEEE.
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    Climate Change and COVID-19 Metaphors: Environmental Consciousness in Social Media
    (Institute of Electrical and Electronics Engineers Inc., 2021) Chetty, N.; Alathur, S.
    The changes in environmental conditions have reportable impacts on the Covid-19 pandemic and vice versa. About these impacts, the people are deliberating metaphorically on climate change and Covid-19. The purpose of the paper is to analyze and identify the people's consciousness about the interrelationship between climate change and Covid-19. The existing literature on climate change and impacts on Covid-19 are reviewed, and inferences have been drawn from the result. Apart from the literature review, the Twitter social media content is analyzed and interpreted. The results have shown that there are noticeable impacts of climate change on Covid-19 and vice-versa. The people are conscious of the relationship between climate change and the Covid-19 pandemic. © 2021 IEEE.
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    Hate speech review in the context of online social networks
    (Elsevier Ltd, 2018) Chetty, N.; Alathur, S.
    Advances in Internet Technologies (ITs) and online social networks have made more benefits to humanity. At the same time, the dark side of this growth/benefit has led to increased hate speech and terrorism as most common and powerful threats globally. Hate speech is an offensive kind of communication mechanism that expresses an ideology of hate using stereotypes. Hate speech targets different protected characteristics such as gender, religion, race, and disability. Control of hate speech can be made using different national and international legal frameworks. Any intentional act directed against life or related entities causing a common danger is known as terrorism. There is a common practice of discussing or debating hate speech and terrorism separately. In the recent past, most of the research articles have discussed either hate speech or terrorism. Hate speech is a type of terrorism and follows an incident or trigger event of terrorism. Online social networks are the result of ITs and evolved rapidly through the popularity among youth. As both the activities are near to close and makes use of online social networks, the collective discussion is appropriate. Therefore we have a review on hate speech with different classes and terrorism with cyber use in the framework of online social networks. With the help of combined effort from the government, the Internet Service Providers (ISPs) and online social networks, the proper policies can be framed to counter both hate speech and terrorism efficiently and effectively. © 2018 Elsevier Ltd