A decade of sentic computing: topic modeling and bibliometric analysis
Research on sentic computing has received intensive attention in recent years, as indicated
by the increased availability of academic literature. However, despite the growth in literature …
by the increased availability of academic literature. However, despite the growth in literature …
Exploring deep neural networks for rumor detection
The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …
the credibility of microblogs. Previous works often focused on maintaining the previous state …
An efficient deep learning for Thai sentiment analysis
N Khamphakdee, P Seresangtakul - Data, 2023 - mdpi.com
The number of reviews from customers on travel websites and platforms is quickly
increasing. They provide people with the ability to write reviews about their experience with …
increasing. They provide people with the ability to write reviews about their experience with …
Detection and classification of psychopathic personality trait from social media text using deep learning model
Nowadays, there is a digital era, where social media sites like Facebook, Google, Twitter,
and YouTube are used by the majority of people, generating a lot of textual content. The …
and YouTube are used by the majority of people, generating a lot of textual content. The …
Augmenting Radio Signals With Wavelet Transform for Deep Learning-Based Modulation Recognition
T Chen, S Zheng, K Qiu, L Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The use of deep learning for radio modulation recognition has become prevalent in recent
years. This approach automatically extracts high-dimensional features from large datasets …
years. This approach automatically extracts high-dimensional features from large datasets …
Application of Natural Language Processing for Phishing Detection Using Machine and Deep Learning Models
A Villanueva, C Atibagos, J De Guzman… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
Phishing scams are internet frauds that target people by sending them harmful links. Many
victims ranging from individuals to big companies, have suffered numerous losses due to …
victims ranging from individuals to big companies, have suffered numerous losses due to …
[PDF][PDF] Bilstm and multiple linear regression based sentiment analysis model using polarity and subjectivity of a text
Sentiment analysis has become more and more requested by companies to improve their
services. However, the main contribution of this paper is to present the results of the study …
services. However, the main contribution of this paper is to present the results of the study …
Stacked BiLSTM-CNN for Multiple label UAV sound classification
Recently the detection of drones using acoustic data has attracted the interest of
researchers, because it is less expensive than other traditional methods. By using acoustic …
researchers, because it is less expensive than other traditional methods. By using acoustic …
Bilstm-cnn hyperparameter optimization for speech emotion and stress recognition
The most automated speech recognition (ASR) systems are extremely complicated,
integrating many approaches and requiring a high variety of tuning parameters. Deep …
integrating many approaches and requiring a high variety of tuning parameters. Deep …
A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction
T Chaisen, P Charoenkwan, CG Kim… - IEEE …, 2023 - ieeexplore.ieee.org
Sentiment analysis is a task in natural language processing that focuses on identifying and
categorizing emotions expressed in text. Despite the remarkable predictive performance …
categorizing emotions expressed in text. Despite the remarkable predictive performance …