An attention-aware long short-term memory-like spiking neural model for sentiment analysis
Q Liu, Y Huang, Q Yang, H Peng… - International journal of …, 2023 - World Scientific
LSTM-SNP model is a recently developed long short-term memory (LSTM) network, which is
inspired from the mechanisms of spiking neural P (SNP) systems. In this paper, LSTM-SNP …
inspired from the mechanisms of spiking neural P (SNP) systems. In this paper, LSTM-SNP …
Novel Method for Sentiment Analysis in Social Media Data Using Hybrid Deep Learning Model
JR Raj - Journal of Advanced Research in Applied Sciences …, 2023 - semarakilmu.com.my
It is common practise to employ a contextual mining approach called sentiment analysis
(SA) to glean subjective but potentially helpful information from textual data. In order to …
(SA) to glean subjective but potentially helpful information from textual data. In order to …
Exploring Emotions in EEG: Deep Learning Approach with Feature Fusion
Emotion is an intricate physiological response that plays a crucial role in how we respond
and cooperate with others in our daily affairs. Numerous experiments have been evolved to …
and cooperate with others in our daily affairs. Numerous experiments have been evolved to …
Exploring Emotions in EEG: Deep Learning Approach with Feature Fusion
D Tasaouf Mridula, AA Ferdaus, TS Pias - medRxiv, 2023 - medrxiv.org
Emotion is an intricate physiological response that plays a crucial role in how we respond
and cooperate with others in our daily affairs. Numerous experiments have been evolved to …
and cooperate with others in our daily affairs. Numerous experiments have been evolved to …
Spark-based big data sentiment analysis of social media comments
K Subha, N Bharathi - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
YouTube is widely regarded as the most crucial place for YouTubers to communicate their
idea with the rest of the world through the internet. Big Data is a massive accumulation of …
idea with the rest of the world through the internet. Big Data is a massive accumulation of …
Enhancing sentiment analysis: A study on imbalanced dataset using machine learning and ensemble learning
R Ibrahim, H Abdulbaqi - AIP Conference Proceedings, 2024 - pubs.aip.org
This research aims to develop a generic SA model that could fix imbalance and manage
noisy data, Out of Vocabulary Words (OOV), sentimental, and contextual loss of input data …
noisy data, Out of Vocabulary Words (OOV), sentimental, and contextual loss of input data …