Search Results - (( using tweet based algorithm ) OR ( java application using algorithm ))

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  1. 1

    Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

    Published 2022
    “…Studies have shown how user perception can have a strong influence on policies and decision-making processes in a place, society, and nation. This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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    Thesis
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    Security alert framework using dynamic tweet-based features for phishing detection on twitter by Liew, Seow Wooi

    Published 2019
    “…This model is then embedded into the detection algorithm together with the inclusion of dynamic tweet-based features which are not as part of the features used to train a classification model for phishing tweet detection. …”
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    Thesis
  3. 3

    Sarcasm detection model based on tweets’ strength using hashtags and non-hashtags sentiment analysis by Nadali, Samaneh

    Published 2016
    “…Sarcasm Hashtags Classifier (SHC) is used to identify sarcastic tweets based on the Sarcasm Hashtags Indicator (SHI) and Sentiment Hashtags Analysis (SHA). …”
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    Thesis
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    Extracting Tweets Using R in The Context of Ethical Issues by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza

    Published 2021
    “…The aim of this study is to find tweets using R that are then related to Ibn Khaldun’s thoughts. …”
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    Proceeding Paper
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    Sentiment Analysis of Sexual Harassment in Malaysia on Twitter Using Machine Learning Algorithms by Nurellezia, Suleiman

    Published 2023
    “…The transformed data is then modelled using machine learning algorithms such as Naïve Bayes classifier and Support Vector Machine to predict the overall sentiment of tweets, in which the finding depicted an overall positive sentiment surrounding the issue. …”
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    Final Year Project Report / IMRAD
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    Predicting the popularity of tweets using the theory of point processes. by Tan, Wai Hong

    Published 2019
    “…We propose several prediction methodologies using the theory of point processes, where the prediction of the future popularity of a tweet is based on observing the retweet time sequence up to a certain censoring time, and the prediction performance is evaluated on a large Twitter data set. …”
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    UMK Etheses
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    PREDICTION OF HFMD DISEASE OUTBREAK FROM TWITTER by Tay, Guo Hong

    Published 2019
    “…On the other hand, Naive Bayes and SVM algorithm is using in classification of the tweets related with HFMD disease. …”
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    Final Year Project Report / IMRAD
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    Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living by Hamza, Manar Ahmed, Hassan Abdalla Hashim, Aisha, Motwakel, Abdelwahed, Elhameed, Elmouez Samir Abd, Osman, Mohammed, Kumar, Arun, Singla, Chinu, Munjal, Muskaan

    Published 2024
    “…In this view, this research develops an arithmetic optimization algorithm with deep learning based tweets classification (AOADL-TC) approach for sustainable living. …”
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    Article
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    Sentiment analysis of domestic violence prediction using Naive Bayes algorithm / Nurulizzah Mohd Rahiman by Mohd Rahiman, Nurulizzah

    Published 2024
    “…The research objectives focus on studying and applying the Naive Bayes algorithm for sentiment analysis on tweets related to domestic violence, aiming to provide insights for researchers, government agencies, policymakers, and the public and develop a prediction model using Naive Bayes algorithm to evaluate its performance. …”
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    Thesis
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    Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning by Priya Sri, E.K., Savita, K.S., Zaffar, M.

    Published 2021
    “…Therefore, the research entails on how the problem statement of this project on developing an algorithm that can predict text- based depression symptoms using deep learning and Natural Language Processing (NLP) can be achieved. …”
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    Conference or Workshop Item
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    An expandable Arabic lexicon and valence shifter rules for sentiment analysis on twitter by Ihnaini, Baha' Najim Salman

    Published 2019
    “…Palestinian and Arabic tweets datasets from March to May 2018 are used to evaluate the proposed idea. …”
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    Thesis
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    Exploring classification for sentiment analysis from halal based tweets by Setik, Roziyani, Raja Lope Ahmad, Raja Mohd Tariqi, Marjudi, Suziyanti

    Published 2021
    “…The classification was performed based on Malaysia halal certification scheme for each tweet to acquire the class label's frequency value based on the sentiment analysis process's polarity results. …”
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    Other
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    RSA Encryption & Decryption using JAVA by Ramli, Marliyana

    Published 2006
    “…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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    Final Year Project
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    Identifying the ethical issues in Twitter: a knowledge acquisition for ontology by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza, Salahuddin, Ashraf Ali,

    Published 2021
    “…Out of many other social networking sites, Twitter has been identified as one of the most popular microblogging social networking platforms. Using a simple algorithm in R programming and 43 keywords based on Ibn Khaldun’s thoughts, 1075 public tweets have been extracted from Twitter as a sample of ethical issues. …”
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    Article
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    Behaviour Analysis Among Adolescents And Children For Cyberbullying Based On Twitter And Kaggle Dataset by Afiefah Hannani, Abdul Halim

    Published 2023
    “…The purpose of this study is to see the accuracy of the algorithms and compare it. The highest algorithm will be chosen as the best model and algorithm that can be used to detect cyberbullying tweet text.…”
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    Undergraduates Project Papers
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