Search Results - (( developing social process algorithm ) OR ( java implication force algorithm ))
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Optimised content-social based features for fake news detection in social media using text clustering approach
Published 2025“…This thesis tackles the extraction process of content-based and social-based features from the news and combines them for better analysis and detection of fake news. …”
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Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…Also, the study explicitly shows the psychological stress of support recipient can be reduced after the dynamic configuration algorithm process assigned selected social support providers from social support network members. …”
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Social media mining is the process of collecting large datasets from user-generated content and extracting and analyzing social media interactions to recognize meaningful patterns in individual and social behavior. …”
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Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach
Published 2019“…Online traveller reviews have been rich sources of information for the traveller’s decision-making process in social media websites. TripAdvisor, a popular travel review site and social media platform, is mainly developed as a free business consultation service to help the travellers to make right decisions in their trips. …”
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Analysis Of Human Detection Method In Social Distancing Monitoring
Published 2022“…This study aims to analyze human detection using the deep learning method in various positions and to develop social distancing detection using the proposed method. …”
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Undergraduates Project Papers -
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Social media mining: a genetic based multiobjective clustering approach to topic modelling
Published 2021“…Social media mining is the process of collecting large datasets from user-generated content and extracting and analyzing social media interactions to recognize meaningful patterns in individual and social behavior. …”
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Agreement options for negotiation on material location decision of housing development
Published 2020“…It will need the development of trade-off algorithms to analyze value of technical solution in real time. …”
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Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak
Published 2021“…A classifier model is developed using Naive Bayes characteristics. A comparison between built-in Scikit Learn Naive Bayes algorithm, and the scratch Naive Bayes algorithm is used to measure its effectiveness in terms of accuracy. …”
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Comparison of anonymous tracker algorithms / Nur Shafikah Mat Daud
Published 2014“…By using the IP Address, can help easily to track location of anonymous. Then, time processing and accuracy which one is the best of algorithms will be determine. …”
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A hybrid serendipity social recommender model / Ahmad Subhi Zolkafly and Rahayu Ahmad
Published 2020“…In order to meditate the problem, in this study, a hybrid serendipity social recommender model is proposed. This model is a combination of several proposed models encountered during the development process. …”
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Algorithm for the legal regulation of internet financial crime
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Development of optimization Alghorithm for uncertain non-linear dynamical system
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Vader lexicon and support vector machine algorithm to detect customer sentiment orientation
Published 2023“…Methods: This study employs a method to compare the classification performance of the Vader lexicon annotation process with manual annotation. To accomplish this, a dataset from the Amazon website will be analyzed and classified using the Support Vector Machine algorithm. …”
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Treemap algorithm for dynamic stormwater infiltration movement into soil surface
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Automated Negative Lightning Return Strokes Characterization Using Brute-Force Search Algorithm
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Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat
Published 2012“…The sentiment analysis using clonal selection algorithm for twitter’s data system was developed to achieve the main objective which is to classify the twitter’s messages according three sentiments which are positive, negative and neutral. …”
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Analysing machine learning models to detect disaster events using social media
Published 2023“…To simulate the examining process further, a fuzzy algorithm is developed to automatically rate the severity of a disaster as described in each message in disaster environment. …”
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Domestic garbage target detection based on improved YOLOv5 algorithm
Published 2023“…Experiments have proved that the accuracy of intelligent classification reached 98.27%, which is 3.85% higher than the original algorithm. It is verified that the improved YOLOv5 algorithm is very effective when applied to garbage classification, and it has social promotion significance and value.…”
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