2022
DOI: 10.1080/08839514.2022.2083794
|View full text |Cite
|
Sign up to set email alerts
|

GAN-BElectra: Enhanced Multi-class Sentiment Analysis with Limited Labeled Data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 19 publications
0
0
0
Order By: Relevance
“…Machine learning and its various applications are prime examples of such domains. A plethora of recent research now focuses on leveraging machine learning to perform various tasks, such as Sentiment Analysis (e.g., [191]- [193]), Emotion-Cause Analysis [90], [194], [195], persuasion (e.g., [196]- [198]), predicting future events, (e.g., [199]) image generation from the text (e.g., [200]). Machine learning is also being utilized in many industries on a routine basis and it is contributing to novel consumer products such as autonomous cars, personalized virtual assistants, etc.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Machine learning and its various applications are prime examples of such domains. A plethora of recent research now focuses on leveraging machine learning to perform various tasks, such as Sentiment Analysis (e.g., [191]- [193]), Emotion-Cause Analysis [90], [194], [195], persuasion (e.g., [196]- [198]), predicting future events, (e.g., [199]) image generation from the text (e.g., [200]). Machine learning is also being utilized in many industries on a routine basis and it is contributing to novel consumer products such as autonomous cars, personalized virtual assistants, etc.…”
Section: Introductionmentioning
confidence: 99%
“…These LMs can generate meaningful texts based on the prompt provided without requiring any further training. A process named fine-tuning [120] is typically performed to use these models in specific downstream tasks such as question answering, summarization, and sentiment analysis [226]- [230]. This fine-tuning process provides a way to control text generation for different outcomes [128].…”
Section: Introductionmentioning
confidence: 99%