[HTML][HTML] An efficient way of text-based emotion analysis from social media using LRA-DNN
Text devices are effectively and heavily used for interactions these days. Emotion extraction
from the text has derived huge importance and is upcoming area of research in Natural …
from the text has derived huge importance and is upcoming area of research in Natural …
Sentiment analysis using deep learning techniques: a comprehensive review
With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …
necessity of using automated sentiment analysis techniques has significantly increased …
A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations
Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …
understanding of another, which makes the joint recognition of sarcasm, sentiment and …
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism
The accurate prediction of drug-target affinity (DTA) is a crucial step in drug discovery and
design. Traditional experiments are very expensive and time-consuming. Recently, deep …
design. Traditional experiments are very expensive and time-consuming. Recently, deep …
CFN: a complex-valued fuzzy network for sarcasm detection in conversations
Sarcasm detection in conversation, a theoretically and practically challenging artificial
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric …
A novel hybrid deep learning model for detecting COVID-19-related rumors on social media based on LSTM and concatenated parallel CNNs
Spreading rumors in social media is considered under cybercrimes that affect people,
societies, and governments. For instance, some criminals create rumors and send them on …
societies, and governments. For instance, some criminals create rumors and send them on …
ECPEC: Emotion-cause pair extraction in conversations
Conversational sentiment analysis (CSA) and emotion-cause pair extraction (ECPE) tasks
have attracted increasing attention in recent years. The former aims to predict the sentiment …
have attracted increasing attention in recent years. The former aims to predict the sentiment …
[HTML][HTML] Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization
Non-coding RNAs (ncRNAs) play an important role in revealing the mechanism of human
disease for anti-tumor and anti-virus substances. Detecting subcellular locations of ncRNAs …
disease for anti-tumor and anti-virus substances. Detecting subcellular locations of ncRNAs …
BAFN: Bi-direction attention based fusion network for multimodal sentiment analysis
Attention-based networks currently identify their effectiveness in multimodal sentiment
analysis. However, existing methods ignore the redundancy of auxiliary modalities. More …
analysis. However, existing methods ignore the redundancy of auxiliary modalities. More …
Stance-level sarcasm detection with bert and stance-centered graph attention networks
Computational Linguistics (CL) associated with the Internet of Multimedia Things (IoMT)-
enabled multimedia computing applications brings several research challenges, such as …
enabled multimedia computing applications brings several research challenges, such as …