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Issues and challenges of aspect-based sentiment analysis: A comprehensive survey
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 …
sentiments are analysed and sentiments are evolved over time, is getting much attention …
Aspect-based sentiment analysis: A survey of deep learning methods
Sentiment analysis is a process of analyzing, processing, concluding, and inferencing
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
subjective texts with the sentiment. Companies use sentiment analysis for understanding …
Relational graph attention network for aspect-based sentiment analysis
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 in online reviews. Most recent efforts adopt attention-based neural network models to …
Aspect-category-opinion-sentiment quadruple extraction with implicit aspects and opinions
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 …
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
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 …
addressing various sentiment analysis tasks at a fine-grained level, which includes but is not …
Position-aware tagging for aspect sentiment triplet extraction
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 …
entities, their associated sentiment, and opinion spans explaining the reason for the …
Exploiting BERT for end-to-end aspect-based sentiment analysis
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 …
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
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 …
fine-grained task in the field of sentiment analysis. Previous work showed syntactic …
A unified model for opinion target extraction and target sentiment prediction
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 …
classification. However, most of the existing works usually studied one of these two sub …
Bidirectional machine reading comprehension for aspect sentiment triplet extraction
Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review
sentences along with their corresponding opinion expressions and sentiments, is an …
sentences along with their corresponding opinion expressions and sentiments, is an …