Contextual Graph Attention Network for Aspect-Level Sentiment Classification
Aspect-level sentiment classification aims to predict the sentiment polarities towards the target aspects given in sentences. To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms ...
Yuqing Miao +6 more
doaj +2 more sources
Triplet Contrastive Learning for Aspect Level Sentiment Classification
The domain of Aspect Level Sentiment Classification, in which the sentiment toward a given aspect is analyzed, attracts much attention in NLP. Recently, the state-of-the-art Aspect Level Sentiment Classification methods are devised by using the Graph ...
Haoliang Xiong +4 more
doaj +2 more sources
Aspect-Oriented Opinion Alignment Network for Aspect-Based Sentiment Classification [PDF]
Aspect-based sentiment classification is a crucial problem in fine-grained sentiment analysis, which aims to predict the sentiment polarity of the given aspect according to its context. Previous works have made remarkable progress in leveraging attention mechanism to extract opinion words for different aspects.
Xueyi Liu +6 more
core +6 more sources
Hybrid sentiment classification on twitter aspect-based sentiment analysis
Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor the opinions of users, and therefore, it is receiving a lot of attention in the field of sentiment analysis.
Zainuddin, Nurulhuda +2 more
openaire +4 more sources
Aspect-based Sentiment Classification for Word Information Enhancement Based on Sentence Information [PDF]
Aspect-based sentiment classification is a fine-grained sentiment classification task that aims to determine the sentiment polarity of specified aspect terms in a sentence.In recent years,syntactic knowledge has been widely applied in the field of aspect-
LI Yilin, SUN Chengsheng, LUO Lin, JU Shenggen
doaj +2 more sources
Aspect-level sentiment classification with fused local and global context
Sentiment analysis aims to determine the sentiment orientation of a text piece (sentence or document), but many practical applications require more in-depth analysis, which makes finer-grained sentiment classification the ideal solution.
Ao Feng +3 more
doaj +2 more sources
Arabic aspect sentiment polarity classification using BERT
Aspect-based sentiment analysis (ABSA) is a textual analysis methodology that defines the polarity of opinions on certain aspects related to specific targets. The majority of research on ABSA is in English, with a small amount of work available in Arabic.
Mohammed M. Abdelgwad +2 more
doaj +4 more sources
Interactive Attention Networks for Aspect-Level Sentiment Classification [PDF]
Aspect-level sentiment classification aims at identifying the sentiment polarity of specific target in its context. Previous approaches have realized the importance of targets in sentiment classification and developed various methods with the goal of precisely modeling thier contexts via generating target-specific representations.
Dehong Ma +3 more
openaire +4 more sources
Sentiment analysis: text, pre-processing, reader views and cross domains [PDF]
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonSentiment analysis has emerged as a field that has attracted a significant amount of attention since it has a wide variety of applications that ...
Haddi, Emma
core +7 more sources
XRCE: Hybrid Classification for Aspect-based Sentiment Analysis [PDF]
In this paper, we present the system we have developed for the SemEval-2014 Task 4 dedicated to Aspect-Based Sentiment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguistic features dedicated to aspect categories and aspect categories polarity classification.
Caroline Brun +2 more
openaire +2 more sources

