Zobrazeno 1 - 10
of 147
pro vyhledávání: '"TextBlob"'
Autor:
Yerik Afrianto Singgalen
Publikováno v:
Journal of Information Systems and Informatics, Vol 6, Iss 2, Pp 882-898 (2024)
This study investigates the sentiment of viewers towards GPT-4o technology videos by analyzing 1538 English language posts using two sentiment analysis tools, VADER and TextBlob. The analysis reveals a fair level of agreement between the two tools, w
Externí odkaz:
https://doaj.org/article/5fced23e2cc14f5caff235235b1e0ab7
Publikováno v:
Teknika, Vol 13, Iss 2, Pp 213-218 (2024)
Media sosial Twitter adalah platform yang populer di Indonesia untuk berkomunikasi dan mendapatkan informasi dengan cepat. Hal ini memungkinkan masyarakat dengan mudah mengungkapkan opini dan sentimen mereka. Penelitian ini berfokus pada perbandingan
Externí odkaz:
https://doaj.org/article/8a1291e27e484c269d45cc38afb6c33a
Publikováno v:
Jurnal Saintekom, Vol 14, Iss 1, Pp 48-60 (2024)
Terbuka University is a leading institution that implements the optimization of digital transformation, especially in distance learning systems. To improve the quality of service to students and stakeholders, Terbuka University has developed the Terb
Externí odkaz:
https://doaj.org/article/c342f1b10c6e413d879b6ff4e9733c1a
Autor:
Odeyinka Abiola, Adebayo Abayomi-Alli, Oluwasefunmi Arogundade Tale, Sanjay Misra, Olusola Abayomi-Alli
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 10, Iss 1, Pp 1-20 (2023)
Abstract Background Information is essential for growth; without it, little can be accomplished. Data gathering has seen significant changes throughout the previous few centuries because of the certain transitory medium. The look and style of informa
Externí odkaz:
https://doaj.org/article/b67840e8373c420992f0898a991cbee5
Analisis Sentimen Twitter Terhadap Opini Publik Atas Isu Pencalonan Puan Maharani dalam PILPRES 2024
Publikováno v:
Journal of Applied Informatics and Computing, Vol 6, Iss 2, Pp 129-135 (2022)
Twitter dapat dilihat sebagai platform bagi kandidat dan pengguna untuk mendapatkan jangkauan substansial untuk menunjukkan pandangan mereka tentang siapa presiden yang akan dipilih pada tahun 2024. Tujuan dari penelitian ini adalah untuk mengeksplor
Externí odkaz:
https://doaj.org/article/25494ed68dc1497a8008c43b07b356de
Autor:
Sudheesh R, Muhammad Mujahid, Furqan Rustam, Bhargav Mallampati, Venkata Chunduri, Isabel de la Torre Díez, Imran Ashraf
Publikováno v:
PeerJ Computer Science, Vol 9, p e1432 (2023)
Nearly six billion people globally use smartphones, and reviews about smartphones provide useful feedback concerning important functions, unique characteristics, etc. Social media platforms like Twitter contain a large number of such reviews containi
Externí odkaz:
https://doaj.org/article/1f20435c003c46d9a45b5be300752436
Publikováno v:
PeerJ Computer Science, Vol 9, p e1193 (2023)
With the rise of social media platforms, sharing reviews has become a social norm in today’s modern society. People check customer views on social networking sites about different fast food restaurants and food items before visiting the restaurants
Externí odkaz:
https://doaj.org/article/4ad946c4755641fab4819a329c1bfd23
Akademický článek
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Akademický článek
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Autor:
Eysha Saad, Sadia Din, Ramish Jamil, Furqan Rustam, Arif Mehmood, Imran Ashraf, Gyu Sang Choi
Publikováno v:
IEEE Access, Vol 9, Pp 85721-85737 (2021)
Sentiment analysis is the extraction and categorization of sentiments that have been expressed in text data using text analysis techniques. Manifested by earlier studies, sentiment analysis of drug reviews has a large potential for providing valuable
Externí odkaz:
https://doaj.org/article/f45835599bbb48249b6eda8ddf6bb044