Showing 1 - 5 results of 5 for search '"Youtube"', query time: 0.05s Refine Results
  1. 1

    Text detergent: The systematic combination of text pre-processing techniques for social media sentiment analysis by Hair Zaki, Ummu Hani’, Ibrahim, Roliana, Abd. Halim, Shahliza, Kamsani, Izyan Izzati

    Published 2022
    “…By using Text Detergent, the YouTube dataset achieve the highest accuracy compared to Facebook and Twitter datasets. …”
    Conference or Workshop Item
  2. 2

    Text detergent: The systematic combination of text pre-processing techniques for social media sentiment analysis by Hair Zaki, Ummu Hani’, Ibrahim, Roliana, Abd. Halim, Shahliza, Kamsani, Izyan Izzati

    Published 2022
    “…By using Text Detergent, the YouTube dataset achieve the highest accuracy compared to Facebook and Twitter datasets. …”
    Article
  3. 3

    Text detergent: The systematic combination of text pre-processing techniques for social media sentiment analysis by Hair Zaki, Ummu Hani’, Ibrahim, Roliana, Abd. Halim, Shahliza, Kamsani, Izyan Izzati

    Published 2022
    “…By using Text Detergent, the YouTube dataset achieve the highest accuracy compared to Facebook and Twitter datasets. …”
    Book Section
  4. 4

    Hybrid sentiment classification on twitter aspect-based sentiment analysis by Zainuddin, Nurulhuda, Selamat, Ali, Ibrahim, Roliana

    Published 2018
    “…Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. …”
    Article
  5. 5

    A social media services analysis by Hair Zaki, Ummu Hani’, Ibrahim, Roliana, Abd. Halim, Shaliza

    Published 2019
    “…The growing adoption of social media services such as YouTube, Facebook, and Twitter have created opportunities for information dissemination practise that has not existed before. …”
    Get full text
    Article