Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning [PDF]
PeerJ Computer Science, 2021 Social media is a vital source to produce textual data, further utilized in various research fields. It has been considered an essential foundation for organizations to get valuable data to assess the users’ thoughts and opinions on a specific topic ...
Sadaf Hussain Janjua +3 more
doaj +2 more sources
Interactive POS-aware network for aspect-level sentiment classification [PDF]
Neurocomputing, 2020 Existing aspect-level sentiment-classification models completely rely on the learning from given data-sets. However, these are easily misled by biased samples, resulting in learning some ill-suited rules thatlimit their potential. The information of some specific part-of-speech (POS) categories often indicates theword sentiment polarity, which can be ...
Kai Shuang +4 more
openalex +3 more sources
Design and Implementation of Aspect-Based Sentiment Analysis Task
Computer Sciences & Mathematics Forum, 2023 This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
doaj +1 more source
Aspect Level Sentiment Classification with Deep Memory Network [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 published in EMNLP ...
Duyu Tang, Bing Qin 0001, Ting Liu 0001
openaire +2 more sources
An Interactive Model of Target and Context for Aspect-Level Sentiment Classification. [PDF]
Comput Intell Neurosci, 2019 Aspect-level sentiment classification aims to identify the sentiment polarity of a review expressed toward a target. In recent years, neural network-based methods have achieved success in aspect-level sentiment classification, and these methods fall into two types: the first takes the target information into account for context modelling, and the ...
Han H, Liu G, Dang J.
europepmc +3 more sources
Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification
IEEE Access, 2020 Aspect-level sentiment classification aims to determine sentiment polarities of various aspects in reviews, where each review typically contains multiple aspects, that may correspond to different polarities.
Zhuojia Wu +5 more
doaj +1 more source
A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews [PDF]
, 2020 Despite the recent advances in opinion mining for written reviews, few works have tackled the problem on other sources of reviews. In light of this issue, we propose a multi-modal approach for mining fine-grained opinions from video reviews that is able ...
Balazs, Jorge A. +4 more
core +2 more sources
A Lexicon-Enhanced Attention Network for Aspect-Level Sentiment Analysis
IEEE Access, 2020 Aspect-level sentiment classification is a fine-grained task in sentiment analysis. In recent years, researchers have realized the importance of the relationship between aspect term and sentence and many classification models based on deep learning ...
Zhiying Ren +5 more
doaj +1 more source
MSFNet: modality smoothing fusion network for multimodal aspect-based sentiment analysis
Frontiers in Physics, 2023 Multimodal aspect-based sentiment classification (MABSC) aims to determine the sentiment polarity of a given aspect in a sentence by combining text and image information.
Yan Xiang +5 more
doaj +1 more source
Exploring BERT for Aspect Extraction in Portuguese Language
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 Sentiment Analysis is the computer science field that comprises techniques that aim to automatically extract opinions from texts. Usually, these techniques assign a Sentiment Orientation to the whole document (Document Level Sentiment Analysis).
Émerson Lopes +2 more
doaj +1 more source