Zobrazeno 1 - 10
of 553
pro vyhledávání: '"Lexicon based"'
Autor:
Xinhe Kang, Panagiotis Stamolampros
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The appearance of the COVID-19 virus in December 2019, quickly escalated into a global crisis, prompting the World Health Organization to recommend regional lockdowns. While effective in curbing the virus’s spread, these measure
Externí odkaz:
https://doaj.org/article/c042f4cf57e648cfbe42153b882d65ec
Publikováno v:
Worldwide Hospitality and Tourism Themes, 2024, Vol. 16, Issue 3, pp. 303-315.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WHATT-03-2024-0044
Publikováno v:
Jurnal Riset Informatika, Vol 6, Iss 3, Pp 149-158 (2024)
This research aims to conduct sentiment analysis of e-grocery application reviews using the Support Vector Machine (SVM) algorithm. Sentiment analysis is used to distinguish between positive and negative reviews by users who have provided reviews so
Externí odkaz:
https://doaj.org/article/4e006fdd9cca4b1d806aaa4349adbf4d
Publikováno v:
Journal of Electrical Engineering and Computer, Vol 6, Iss 1, Pp 27-37 (2024)
Analisis sentimen merupakan bidang ilmu yang memiliki potensi besar dalam penelitian dan aplikasi praktis. Ini merupakan sebuah tugas dari NLP yang dieksploitasi untuk mengekstraksi dan mengklasifikasi konten berdasarkan sentimen emosi baik positive,
Externí odkaz:
https://doaj.org/article/c480e6ade761441b8ec309d0e5edf47e
Publikováno v:
Asian Journal of Shipping and Logistics, Vol 40, Iss 1, Pp 42-51 (2024)
This study aims to develop an index for assessing Maritime Supply Chain Risks (MSCRs) capable of preemptively detecting potential crises in the container market and validating the predictive power with Korean container volumes. By employing Lexicon-b
Externí odkaz:
https://doaj.org/article/f9d2dc5d805b482ab16b9390f611e2d1
Autor:
Raquel Martinez-Espana, Julio Fernandez-Pedauye, Jose Giner-Perez de Lucia, Jose Miguel Rojo-Martinez, Kaoutar Bakdid-Albane, Juan Jose Garcia-Escribano
Publikováno v:
IEEE Access, Vol 12, Pp 102035-102049 (2024)
Affective polarization has important consequences for societies and institutions. At the institutional level, it hinders agreement among political actors, which damages the stability of the system. At the social level, it increases tensions and confl
Externí odkaz:
https://doaj.org/article/9d44debb99384295b0bb8c82c7a979e5
Autor:
Kousik Barik, Sanjay Misra
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-29 (2024)
Abstract Background The importance of customer reviews in determining satisfaction has significantly increased in the digital marketplace. Using sentiment analysis in customer reviews has immense potential but encounters challenges owing to domain he
Externí odkaz:
https://doaj.org/article/bffc80e8016b4494b28abac9adb8eeb2
Autor:
Idi Mohammed, Rajesh Prasad
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110124- (2024)
This paper presents a comprehensive augmented lexicon sentiment analysis dataset for the Hausa language. The dataset was created by adopting words and phrases from a Hausa Language dictionary and then using the data augmentation method to expand the
Externí odkaz:
https://doaj.org/article/d5b60c5adc72419bad507428a33546af
Autor:
Nurzulaikha Khalid, Shuzlina Abdul-Rahman, Wahyu Wibowo, Nur Atiqah Sia Abdullah, Sofianita Mutalib
Publikováno v:
IJAIN (International Journal of Advances in Intelligent Informatics), Vol 9, Iss 3, Pp 457-471 (2023)
In Malaysia, during the early stages of the COVID-19 pandemic, the negative impact on mental health became noticeable. The public's psychological and behavioral responses have risen as the COVID-19 outbreak progresses. A high impression of severity,
Externí odkaz:
https://doaj.org/article/08fb861804774fa9b5a896f154bc60e9
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 111 (2024)
The application of analytics on Twitter feeds is a very popular field for research. A tweet with a 280-character limitation can reveal a wealth of information on how individuals express their sentiments and emotions within their network or community.
Externí odkaz:
https://doaj.org/article/49c46a3f4cea430d9f0df92cc1c717c1