Deep learning for aspect-level sentiment classification: survey, vision, and challenges
This survey focuses on deep learning-based aspect-level sentiment classification (ASC),
which aims to decide the sentiment polarity for an aspect mentioned within the document …
which aims to decide the sentiment polarity for an aspect mentioned within the document …
BERT post-training for review reading comprehension and aspect-based sentiment analysis
Question-answering plays an important role in e-commerce as it allows potential customers
to actively seek crucial information about products or services to help their purchase …
to actively seek crucial information about products or services to help their purchase …
Aspect-level sentiment analysis via convolution over dependency tree
We propose a method based on neural networks to identify the sentiment polarity of opinion
words expressed on a specific aspect of a sentence. Although a large majority of works …
words expressed on a specific aspect of a sentence. Although a large majority of works …
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 …
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 …
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 …
Adapt or get left behind: Domain adaptation through BERT language model finetuning for aspect-target sentiment classification
Aspect-Target Sentiment Classification (ATSC) is a subtask of Aspect-Based Sentiment
Analysis (ABSA), which has many applications eg in e-commerce, where data and insights …
Analysis (ABSA), which has many applications eg in e-commerce, where data and insights …
Knowledge graph augmented network towards multiview representation learning for aspect-based sentiment analysis
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis. To
better comprehend long complicated sentences and obtain accurate aspect-specific …
better comprehend long complicated sentences and obtain accurate aspect-specific …
Weakly supervised framework for aspect-based sentiment analysis on students' reviews of MOOCs
Students' feedback is an effective mechanism that provides valuable insights about teaching-
learning process. Handling opinions of students expressed in reviews is a quite labour …
learning process. Handling opinions of students expressed in reviews is a quite labour …