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Enhancing telemedicine service quality through sentiment analysis of user review dataset in Indonesia. [PDF]
Data BriefSutoyo E, Permana MC.
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Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study. [PDF]
JMIR Form ResAnnan A +6 more
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Contextualization, Procedural Logic, and Active Construction: A Cognitive Scaffolding Model for Topic Sentiment Analysis in Game-Based Learning. [PDF]
Behav Sci (Basel)Ding L, Zhang H, Zhou J, Chen B.
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Evolving techniques in sentiment analysis: a comprehensive review. [PDF]
PeerJ Comput SciKumar M, Khan L, Chang HT.
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REST Journal on Data Analytics and Artificial Intelligence
Sentiment Analysis, also known as opinion mining, is a Natural Language Processing (NLP) technique used to identify, extract, and classify emotions expressed in textual data. The purpose of this research is to analyze large volumes of user-generated content—such as tweets, reviews, and comments—to determine whether the expressed sentiment is positive ...
Charlotte Nirmalani Gunawardena +2 more
+11 more sources
Sentiment Analysis, also known as opinion mining, is a Natural Language Processing (NLP) technique used to identify, extract, and classify emotions expressed in textual data. The purpose of this research is to analyze large volumes of user-generated content—such as tweets, reviews, and comments—to determine whether the expressed sentiment is positive ...
Charlotte Nirmalani Gunawardena +2 more
+11 more sources
2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017
It requires sophisticated streaming of big data processing to process the billions of daily social conversations across millions of sources. Dataset needs information extraction from them and it requires contextual semantic sentiment modeling to capture the intelligence through the complexity of online social discussions.
Jing Ge +2 more
+8 more sources
It requires sophisticated streaming of big data processing to process the billions of daily social conversations across millions of sources. Dataset needs information extraction from them and it requires contextual semantic sentiment modeling to capture the intelligence through the complexity of online social discussions.
Jing Ge +2 more
+8 more sources
2022
With people constantly expressing themselves on various online platforms, there are multitudes of data available that can be used in research. In most cases, these data are unstructured and can be intimidating to analyse due to the large volumes. However, techniques such as sentiment analysis can be used to analyse these data and obtain insights that ...
Larian M. Nkomo, Antonie Alm
+5 more sources
With people constantly expressing themselves on various online platforms, there are multitudes of data available that can be used in research. In most cases, these data are unstructured and can be intimidating to analyse due to the large volumes. However, techniques such as sentiment analysis can be used to analyse these data and obtain insights that ...
Larian M. Nkomo, Antonie Alm
+5 more sources