Aspect Level Sentiment Analysis
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Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency
Clustering aspect-related phrases in terms of product’s property is a precursor pro- cess to aspect-level sentiment analysis which is a central task in sentiment analy- sis. Most of existing methods …...
COMMIT-P1WP3: A Co-occurrence Based Approach to Aspect-Level Sentiment Analysis
In this paper, the crucial ingredients for our submission to SemEval-2014 Task 4 “Aspect Level Sentiment Analysis” are discussed. We present a simple aspect de- tection algorithm, a co-occurrence based …...
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Reviews depict sentiments of customers towards various aspects of a product or service. Some of these aspects can be grouped into coarser aspect categories. SemEval-2014 had a shared task (Task …...
Aspect Based Sentiment Analysis using Sentiment Flow with Local and Non-local Neighbor Information
AbstractAspect-level analysis of sentiments contained in a review text is important to reveal a detailed picture of consumer opinions. While a plethora of methods have been traditionally employed for this …...
A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis
AbstractAspect-level sentiment analysis aims to distinguish the sentiment polarity of each specific aspect term in a given sentence. Both industry and academia have realized the importance of the relationship between …...
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis
AbstractAspect-level sentiment analysis aims to identify the sentiment of a specific target in its context. Previous works have proved that the interactions between aspects and the contexts are important. On …...
Learning Sentence Representations over Tree Structures for Target-Dependent Classification
AbstractTarget-dependent classification tasks, such as aspect-level sentiment analysis, perform fine-grained classifications towards specific targets. Semantic compositions over tree structures are promising for such tasks, as they can potentially capture long-distance …...
MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification
While sentiment analysis has become an established field in the NLP community, research into languages other than English has been hindered by the lack of resources. Although much research in …...
Graph Attention Network with Memory Fusion for Aspect-level Sentiment Analysis
AbstractAspect-level sentiment analysis(ASC) predicts each specific aspect term’s sentiment polarity in a given text or review. Recent studies used attention-based methods that can effectively improve the performance of aspect-level sentiment …...
Enhancing Aspect-level Sentiment Analysis with Word Dependencies
AbstractAspect-level sentiment analysis (ASA) has received much attention in recent years. Most existing approaches tried to leverage syntactic information, such as the dependency parsing results of the input text, to …...
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection
AbstractAspect terms extraction (ATE) and aspect sentiment classification (ASC) are two fundamental and fine-grained sub-tasks in aspect-level sentiment analysis (ALSA). In the textual analysis, joint extracting both aspect terms and …...
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 …...