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  1. 1
    Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat

    Sentiment analysis using clonal selection algorithm for Twitter’s data / Fatimah Mamat by Mamat, Fatimah

    Published 2012
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  2. 2
    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi

    Sentiment analysis using negative selection algorithm for Twitter’s messages / Nazirah Che Alhadi by Che Alhadi, Nazirah

    Published 2012
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  3. 3
    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak

    Sentiment mining in twitter for early depression detection / Najihah Salsabila Ishak by Ishak, Najihah Salsabila

    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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  4. 4
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…Finally, the algorithm found, which would solve the image segmentation problem.…”
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  5. 5
    Automatic Number Plate Recognition on android platform: With some Java code excerpts

    Automatic Number Plate Recognition on android platform: With some Java code excerpts by ., Abdul Mutholib, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2016
    “…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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  6. 6
    Development of seven segment display recognition using TensorFlow on Raspberry Pi

    Development of seven segment display recognition using TensorFlow on Raspberry Pi by Gunawan, Teddy Surya, Mohammad Reduwan, Haque, Yaacob, Mashkuri, Mohamed Azmin, Nor Fadhillah, Ismail, Nanang, Ismail, Md Yusof, Kartiwi, Mira, A. Rahman, Azhar

    Published 2022
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  7. 7
    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki

    Sentiment Analysis of Airline Reviews Using Naive Bayes Algorithm / Ahmad Firdaus Maliki by Maliki, Ahmad Firdaus

    Published 2021
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  8. 8
    Identifying The Ethical Issues In Twitter: A Knowledge Acquisition For Ontology

    Identifying The Ethical Issues In Twitter: A Knowledge Acquisition For Ontology by Mohamad Hafizuddin Mohamed Najid, Zahidah Zulkifli, Roslina Othman, Rohaiza Rokis, Ashraf Ali Salahuddin

    Published 2024
    “…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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  9. 9
    Extracting Tweets Using R in The Context of Ethical Issues

    Extracting Tweets Using R in The Context of Ethical Issues by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza

    Published 2021
    “…The analysis was carried out with a simple algorithm written in R Programming. 45 keywords based on Ibn Khaldun’s thoughts were constructed as the hashtag to retrieve data from Twitter. …”
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  10. 10
    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan and Khairul Nizam Abd Halim

    Twitter sentiment analysis of Malaysian fast food restaurant chains: a novel approach to understand customer perception using Naïve Bayes / Muhammad Hafeez Hakimi Muhd Zahidi Ridzu... by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi, Abd Halim, hairul Nizam

    Published 2023
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  11. 11
    Identifying the ethical issues in Twitter: a knowledge acquisition for ontology

    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
    “…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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  12. 12
    Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan

    Classification and visualization of Malaysian fast food restaurant chain based on twitter sentiment analysis / Muhammad Hafeez Hakimi Muhd Zahidi Ridzuan by Muhd Zahidi Ridzuan, Muhammad Hafeez Hakimi

    Published 2023
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  13. 13
    Customer sentiment analysis through social media feedback: A case study on telecommunication company

    Customer sentiment analysis through social media feedback: A case study on telecommunication company by Mat Zain, Siti Nur Syamimi, Ramli, Nor Azuana, Adnan, Rose Adzreen

    Published 2022
    “…Customer feedback data were taken from Twitter through Streaming API (Application Programming Interface), where Tweets are retrieved in real time based on search terms, time, users and likes. …”
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  14. 14
    Customer sentiment analysis through social media feedback

    Customer sentiment analysis through social media feedback by Siti Nur Syamimi, Mat Zain

    Published 2022
    “…Customer feedback data were taken from Twitter through Streaming API (Application Programming Interface), where Tweets are retrieved in real time based on search terms, time, users and likes. …”
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    Undergraduates Project Papers
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  15. 15
    Digital diversification to expand the Indonesian radio industry: A Case Study of PRFM, Delta, and Dahlia Stations

    Digital diversification to expand the Indonesian radio industry: A Case Study of PRFM, Delta, and Dahlia Stations by Septiawan Santana Kurnia, Firmansyah, Dadi Ahmadi, Doddy Iskandar Cakranegara, Satya Indra Karsa, Erwin Kustiman

    Published 2023
    “…Digitization has made radio stations the business of news portals, global aggregator platforms, programmed journalism or algorithm journalism. How does the radio broadcasting business retain an audience and grow listeners across borders via Facebook, Twitter, Instagram, Youtube, TikTok, WhatsApp and Website? …”
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