AIMC Topic: Sentiment Analysis

Clear Filters Showing 41 to 50 of 103 articles

Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data.

Scientific reports
Sentiment analysis is a process in Natural Language Processing that involves detecting and classifying emotions in texts. The emotion is focused on a specific thing, an object, an incident, or an individual. Although some tasks are concerned with det...

An optimistic firefly algorithm-based deep learning approach for sentiment analysis of COVID-19 tweets.

Mathematical biosciences and engineering : MBE
The unprecedented rise in the number of COVID-19 cases has drawn global attention, as it has caused an adverse impact on the lives of people all over the world. As of December 31, 2021, more than 2, 86, 901, 222 people have been infected with COVID-1...

Network Public Opinion Risk Prediction and Judgment Based on Deep Learning: A Model of Text Sentiment Analysis.

Computational intelligence and neuroscience
Under the background of the gradual development and popularization of mobile Internet information technology, this paper realizes network public opinion monitoring and emotion analysis based on the deep learning method, aiming at the research needs o...

Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review.

Regulatory toxicology and pharmacology : RTP
In the field of regulatory science, reviewing literature is an essential and important step, which most of the time is conducted by manually reading hundreds of articles. Although this process is highly time-consuming and labor-intensive, most output...

Attention-enabled gated spiking neural P model for aspect-level sentiment classification.

Neural networks : the official journal of the International Neural Network Society
Gated spiking neural P (GSNP) model is a recently developed recurrent-like network, which is abstracted by nonlinear spiking mechanism of nonlinear spiking neural P systems. In this study, a modification of GSNP is combined with attention mechanism t...

Semisupervised neural biomedical sense disambiguation approach for aspect-based sentiment analysis on social networks.

Journal of biomedical informatics
Patient narratives on social networks contain large amounts of objective information, such as the descriptions of examinations and interventions. Sentiment analysis (SA) models are mostly used to evaluate the conveyed sentiments by patients in these ...

Sentiment Classification of Chinese Tourism Reviews Based on ERNIE-Gram+GCN.

International journal of environmental research and public health
Nowadays, tourists increasingly prefer to check the reviews of attractions before traveling to decide whether to visit them or not. To respond to the change in the way tourists choose attractions, it is important to classify the reviews of attraction...

The Scalable Fuzzy Inference-Based Ensemble Method for Sentiment Analysis.

Computational intelligence and neuroscience
Internet environments such as social networks, news sites, and blogs are the platforms where people can share their ideas and opinions. Many people share their comments instantly on the internet, which results in creating large volumes of entries. It...

Network Sentiment Analysis of College Students in Different Epidemic Stages Based on Text Clustering.

Journal of environmental and public health
In order to analyze the evolution trend of public opinion in emergencies and explore its evolution law, this paper constructs a network sentiment analysis model based on text clustering, where the emotion analysis part is based on the pretraining BER...