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An Unsupervised Aspect-Sentiment Model for Online Reviews
With the increase in popularity of online re- view sites comes a corresponding need for tools capable of extracting the information most important to the user from the plain text …...
Exploiting Domain Knowledge in Aspect Extraction
Aspect extraction is one of the key tasks in sentiment analysis. In recent years, statistical models have been used for the task. However, such models without any domain knowledge often …...
Aspect Extraction with Automated Prior Knowledge Learning
Aspect extraction is an important task in sentiment analysis. Topic modeling is a popular method for the task. However, unsupervised topic models often generate incoherent aspects. To address the is- …...
IHS R&D Belarus: Cross-domain extraction of product features using CRF
This paper describes the aspect extraction system submitted by IHS R&D Belarus team at the SemEval-2014 shared task re- lated to Aspect-Based Sentiment Analy- sis. Our system is based on …...
INSIGHT-1 at SemEval-2016 Task 5: Deep Learning for Multilingual Aspect-based Sentiment Analysis
This paper describes our deep learning- based approach to multilingual aspect- based sentiment analysis as part of Se- mEval 2016 Task 5. We use a convo- lutional neural network (CNN) …...
Structured Aspect Extraction
AbstractAspect extraction identifies relevant features from a textual description of an entity, e.g., a phone, and is typically targeted to product descriptions, reviews, and other short texts as an enabling …...
Multi-Domain Aspect Extraction Using Support Vector Machines
This paper describes a system to extract aspect categories for the task of aspect based sentiment analysis. This system can extract both implicit and explicit aspects. We propose a one-vs-rest …...
Aspect and Sentiment Aware Abstractive Review Summarization
AbstractReview text has been widely studied in traditional tasks such as sentiment analysis and aspect extraction. However, to date, no work is towards the abstractive review summarization that is essential …...
Sarcasm Target Identification: Dataset and An Introductory Approach
Past work in computational sarcasm deals primarily with sarcasm detection. In this paper, we introduce a novel, related problem: sarcasm target identification (i.e., extracting the target of ridicule in a …...
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
AbstractQuestion-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 decision making. Inspired by the …...
Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction
AbstractThe current aspect extraction methods suffer from boundary errors. In general, these errors lead to a relatively minor difference between the extracted aspects and the ground-truth. However, they hurt the …...
Joint Aspect Extraction and Sentiment Analysis with Directional Graph Convolutional Networks
AbstractEnd-to-end aspect-based sentiment analysis (EASA) consists of two sub-tasks: the first extracts the aspect terms in a sentence and the second predicts the sentiment polarities for such terms. For EASA, …...
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis
AbstractThe aspect-based sentiment analysis (ABSA) consists of two conceptual tasks, namely an aspect extraction and an aspect sentiment classification. Rather than considering the tasks separately, we build an end-to-end ABSA …...
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
AbstractAspect-based sentiment analysis of review texts is of great value for understanding user feedback in a fine-grained manner. It has in general two sub-tasks: (i) extracting aspects from each review, …...
A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis
AbstractRecently, some span-based methods have achieved encouraging performances for joint aspect-sentiment analysis, which first extract aspects (aspect extraction) by detecting aspect boundaries and then classify the span-level sentiments (sentiment classification). …...
Dataset and Baseline for Automatic Student Feedback Analysis
AbstractIn this paper, we present a student feedback corpus, which contains 3000 instances of feedback written by university students. This dataset has been annotated for aspect terms, opinion terms, polarities …...
Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis
AbstractCross-domain Aspect-Based Sentiment Analysis (ABSA) aims to leverage the useful knowledge from a source domain to identify aspect-sentiment pairs in sentences from a target domain. To tackle the task, several …...