Issues and challenges of aspect-based sentiment analysis: A comprehensive survey

A Nazir, Y Rao, L Wu, L Sun - IEEE Transactions on Affective …, 2020 - ieeexplore.ieee.org
The domain of Aspect-based Sentiment Analysis, in which aspects are extracted, their
sentiments are analysed and sentiments are evolved over time, is getting much attention …

Aspect-based sentiment analysis: A survey of deep learning methods

H Liu, I Chatterjee, MC Zhou, XS Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …

Relational graph attention network for aspect-based sentiment analysis

K Wang, W Shen, Y Yang, X Quan, R Wang - arxiv preprint arxiv …, 2020 - arxiv.org
Aspect-based sentiment analysis aims to determine the sentiment polarity towards a specific
aspect in online reviews. Most recent efforts adopt attention-based neural network models to …

Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions

H Cai, R **a, J Yu - Proceedings of the 59th annual meeting of the …, 2021 - aclanthology.org
Product reviews contain a large number of implicit aspects and implicit opinions. However,
most of the existing studies in aspect-based sentiment analysis ignored this problem. In this …

Knowing what, how and why: A near complete solution for aspect-based sentiment analysis

H Peng, L Xu, L Bing, F Huang, W Lu, L Si - Proceedings of the AAAI …, 2020 - ojs.aaai.org
Target-based sentiment analysis or aspect-based sentiment analysis (ABSA) refers to
addressing various sentiment analysis tasks at a fine-grained level, which includes but is not …

Position-aware tagging for aspect sentiment triplet extraction

L Xu, H Li, W Lu, L Bing - arxiv preprint arxiv:2010.02609, 2020 - arxiv.org
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting the triplets of target
entities, their associated sentiment, and opinion spans explaining the reason for the …

Exploiting BERT for end-to-end aspect-based sentiment analysis

X Li, L Bing, W Zhang, W Lam - arxiv preprint arxiv:1910.00883, 2019 - arxiv.org
In this paper, we investigate the modeling power of contextualized embeddings from pre-
trained language models, eg BERT, on the E2E-ABSA task. Specifically, we build a series of …

Does syntax matter? a strong baseline for aspect-based sentiment analysis with roberta

J Dai, H Yan, T Sun, P Liu, X Qiu - arxiv preprint arxiv:2104.04986, 2021 - arxiv.org
Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a
fine-grained task in the field of sentiment analysis. Previous work showed syntactic …

A unified model for opinion target extraction and target sentiment prediction

X Li, L Bing, P Li, W Lam - Proceedings of the AAAI conference on …, 2019 - ojs.aaai.org
Target-based sentiment analysis involves opinion target extraction and target sentiment
classification. However, most of the existing works usually studied one of these two sub …

Bidirectional machine reading comprehension for aspect sentiment triplet extraction

S Chen, Y Wang, J Liu, Y Wang - … of the AAAI conference on artificial …, 2021 - ojs.aaai.org
Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review
sentences along with their corresponding opinion expressions and sentiments, is an …