[HTML][HTML] Social network sentiment classification method combined Chinese text syntax with graph convolutional neural network
X Liu, T Tang, N Ding - Egyptian Informatics Journal, 2022 - Elsevier
In view of most current studies on text sentiment classification focus on the deep learning
model to obtain the sentimental characteristics of English text. Chinese text sentiment …
model to obtain the sentimental characteristics of English text. Chinese text sentiment …
Enhancing Aspect-based Sentiment Analysis through Supervised Contrastive Learning with Induced Tree Structures
AK Zarandi, S Mirzaei - 2024 10th International Conference on …, 2024 - ieeexplore.ieee.org
A facet of sentiment analysis is Aspect-based Sentiment Analysis (ABSA), which entails
identifying and assessing sentiments towards particular aspects or attributes within text data …
identifying and assessing sentiments towards particular aspects or attributes within text data …
Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position
Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as
negative, positive, or neutral while associating them with their identified aspects from the …
negative, positive, or neutral while associating them with their identified aspects from the …
A Language-Agnostic Framework with Bidirectional Syntactic Graph Convolutional Networks for Cross-Lingual Aspect Term Extraction
Y Cui, B Tian, J Wang, Y Zhou… - 2022 IEEE Smartworld …, 2022 - ieeexplore.ieee.org
Aspect term extraction is a vital sub-task of sentiment analysis, which aims to extract explicit
product attributes in customer reviews. Unfortunately, many languages lack sufficient …
product attributes in customer reviews. Unfortunately, many languages lack sufficient …
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction
W Ke, J Gao, H Shen, X Cheng - Pacific-Asia Conference on Knowledge …, 2021 - Springer
Aspect sentiment triple extraction aims to extract all aspects, opinions, and sentiments in a
sentence and pair them into triples. The main challenge lies at mining the dependency …
sentence and pair them into triples. The main challenge lies at mining the dependency …
[PDF][PDF] A LATENT ASPECT MINING FRAMEWORK FROM TEXTUAL
DH Pham - pdfs.semanticscholar.org
The problem of latent aspect mining from textual customer reviews is important in knowledge
discovery and natural language processing. Given a collection of review texts, it is required …
discovery and natural language processing. Given a collection of review texts, it is required …