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KurdABSA: Kurdish aspect-based sentiment analysis dataset curation using few-shot learning. [PDF]

Data Brief
San Ahmed RAM, Saeed SA.
europepmc   +1 more source

SENTIMENT ANALYSIS OF YOUTUBE COMMENTS ON WISH 107.5 VIDEOS USING NATURAL LANGUAGE PROCESSING (NLP)

Jimson A. Olaybar, Jilbert C. Bati-on, Jose C. Agoylo   +2 more
openalex   +1 more source

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Sentiment analysis

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, Marisol Alonso Vazquez, Ulrike Gretzel   +2 more
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Sentiment Analysis

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
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Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges

ACM Computing Surveys, 2023
Sentiment analysis has come long way since it was introduced as a natural language processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying attitudes and opinions toward an entity.
Ringki Das, Thoudam Doren Singh
semanticscholar   +1 more source

The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection

IEEE Transactions on Affective Computing, 2023
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology, prompt-based classification tasks, e.g., sentiment analysis and emotion detection, have raised increasing attention.
Rui Mao, Qian Liu, Kai He, Wei Li, E. Cambria   +4 more
semanticscholar   +1 more source

Sentiment Analysis Using Sentiment Features

2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013
Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc.
Seyed-Ali Bahrainian, Andreas Dengel
openaire   +1 more source

Sentiment Analysis and Opinion Mining

Synthesis Lectures on Human Language Technologies, 2012
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.
Lei Zhang, B. Liu
semanticscholar   +1 more source

Sentiment analysis: Arabic sentiment lexicons

2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017
Sentiment Analysis is the process of identifying sentiment from text written in a natural language with respect to the entity it is referring to. Sentiment lexicons are used to perform this task. Several lexicons are available to perform this task in English using WordNet.
Khaled S. Sabra, Rached N. Zantout, Mohamad A. El Abed, Lama Hamandi   +3 more
openaire   +1 more source