A survey on sentiment analysis methods, applications, and challenges
M Wankhade, ACS Rao, C Kulkarni - Artificial Intelligence Review, 2022 - Springer
The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …
A survey on aspect-based sentiment classification
G Brauwers, F Frasincar - ACM Computing Surveys, 2022 - dl.acm.org
With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
Aspect-based sentiment analysis is a fine-grained sentiment analysis task, which needs to
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …
detection the sentiment polarity towards a given aspect. Recently, graph neural models over …
Dependency graph enhanced dual-transformer structure for aspect-based sentiment classification
Aspect-based sentiment classification is a popular task aimed at identifying the
corresponding emotion of a specific aspect. One sentence may contain various sentiments …
corresponding emotion of a specific aspect. One sentence may contain various sentiments …
COVID-19 sensing: negative sentiment analysis on social media in China via BERT model
Coronavirus disease 2019 (COVID-19) poses massive challenges for the world. Public
sentiment analysis during the outbreak provides insightful information in making appropriate …
sentiment analysis during the outbreak provides insightful information in making appropriate …
Driving and suppressing the human language network using large language models
Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …
human brain responses to language. Here, using functional-MRI-measured brain responses …
A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance
Background Discharge medical notes written by physicians contain important information
about the health condition of patients. Many deep learning algorithms have been …
about the health condition of patients. Many deep learning algorithms have been …
[HTML][HTML] Improving the performance of aspect based sentiment analysis using fine-tuned Bert Base Uncased model
Nowadays, digital reviews and ratings of E-commerce platforms provide a better way for
consumers to buy the products. E-commerce giants like Amazon, Flipkart, etc provide …
consumers to buy the products. E-commerce giants like Amazon, Flipkart, etc provide …
Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals
Depression stands as one of the most widespread psychological disorders and has
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
garnered increasing attention. Currently, how to effectively achieve automatic multimodal …
Aspect based sentiment analysis using deep learning approaches: A survey
The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …
thrust area for researchers, academicians, and businesses to extract information for …