Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …
domain of natural language processing, which is propelling us toward the development of …
Combination of GRU and CNN deep learning models for sentiment analysis on French customer reviews using XLNet model
Sentiment analysis is the task of detecting opinions of people from text using techniques of
natural language processing. It is critical in assisting businesses in actively improving their …
natural language processing. It is critical in assisting businesses in actively improving their …
Tailored text augmentation for sentiment analysis
In synonym replacement-based data augmentation techniques for natural language
processing tasks, words in a sentence are often sampled randomly with equal probability. In …
processing tasks, words in a sentence are often sampled randomly with equal probability. In …
Aspect-based sentiment analysis of Twitter influencers to predict the trend of cryptocurrencies based on hybrid deep transfer learning models
K Jahanbin, MAZ Chahooki - IEEE Access, 2023 - ieeexplore.ieee.org
With the expansion of social networks, sentiment analysis has become one of the hot topics
in machine learning. However, in traditional sentiment analysis, the text is considered of a …
in machine learning. However, in traditional sentiment analysis, the text is considered of a …
An emotion-based rating system for books using sentiment analysis and machine learning in the cloud
SD Gogula, M Rahouti, SK Gogula, A Jalamuri… - Applied Sciences, 2023 - mdpi.com
Sentiment analysis (SA), and emotion detection and recognition from text (EDRT) are recent
areas of study that are closely related to each other. Sentiment analysis strives to identify …
areas of study that are closely related to each other. Sentiment analysis strives to identify …
Aspect-based sentiment analysis of drug reviews using multi-task learning based dual BiLSTM model
User-generated content on healthcare web forums, particularly drug reviews, provides
valuable information on drug benefits, effectiveness, side effects, dosage, condition, cost …
valuable information on drug benefits, effectiveness, side effects, dosage, condition, cost …
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontologies are widely used for representing domain knowledge and meta data, playing an
increasingly important role in Information Systems, the Semantic Web, Bioinformatics and …
increasingly important role in Information Systems, the Semantic Web, Bioinformatics and …
Drug review sentimental analysis based on modular lexicon generation and a fusion of bidirectional threshold weighted mapping CNN‐RNN
In drug review sentimental analysis (SA), users can share their experiences after consuming
the drugs, which provides an accurate decision about the safety of the drug and public …
the drugs, which provides an accurate decision about the safety of the drug and public …
A multi-task dual-encoder framework for aspect sentiment triplet extraction
Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based
sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review …
sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review …
XLNet-CNN-GRU dual-channel aspect-level review text sentiment classification method
D Wu, Z Wang, W Zhao - Multimedia Tools and Applications, 2024 - Springer
Aiming at the problem that the feature information of review text is not fully captured and the
aspect information extraction ability is poor in the traditional aspect-level sentiment …
aspect information extraction ability is poor in the traditional aspect-level sentiment …