Aspect Extraction

24 papers with code • 7 benchmarks • 2 datasets

Aspect extraction is the task of identifying and extracting terms relevant for opinion mining and sentiment analysis, for example terms for product attributes or features.

Most implemented papers

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

xuuuluuu/SemEval-Triplet-data 5 Nov 2019

In this paper, we introduce a new subtask under ABSA, named aspect sentiment triplet extraction (ASTE).

Adversarial Training for Aspect-Based Sentiment Analysis with BERT

IMPLabUniPr/Adversarial-Training-for-ABSA 30 Jan 2020

In this work, we apply adversarial training, which was put forward by Goodfellow et al. (2014), to the post-trained BERT (BERT-PT) language model proposed by Xu et al. (2019) on the two major tasks of Aspect Extraction and Aspect Sentiment Classification in sentiment analysis.

An Unsupervised Neural Attention Model for Aspect Extraction

ruidan/Unsupervised-Aspect-Extraction ACL 2017

Unlike topic models which typically assume independently generated words, word embedding models encourage words that appear in similar contexts to be located close to each other in the embedding space.

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

howardhsu/DE-CNN ACL 2018

Unlike other highly sophisticated supervised deep learning models, this paper proposes a novel and yet simple CNN model employing two types of pre-trained embeddings for aspect extraction: general-purpose embeddings and domain-specific embeddings.

Summarizing Opinions: Aspect Extraction Meets Sentiment Prediction and They Are Both Weakly Supervised

stangelid/oposum EMNLP 2018

We present a neural framework for opinion summarization from online product reviews which is knowledge-lean and only requires light supervision (e. g., in the form of product domain labels and user-provided ratings).

Robust to Noise Models in Natural Language Processing Tasks

madrugado/robust-w2v ACL 2019

There are a lot of noise texts surrounding a person in modern life.

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

lixin4ever/BERT-E2E-ABSA 14 Apr 2020

Target-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them.

Improving BERT Performance for Aspect-Based Sentiment Analysis


Aspect-Based Sentiment Analysis (ABSA) studies the consumer opinion on the market products.

Replication issues in syntax-based aspect extraction for opinion mining

epochx/opminreplicability EACL 2017

Reproducing experiments is an important instrument to validate previous work and build upon existing approaches.

Mining fine-grained opinions on closed captions of YouTube videos with an attention-RNN

epochx/opinatt WS 2017

These results, as well as further experiments on domain adaptation for aspect extraction, suggest that differences between speech and written text, which have been discussed extensively in the literature, also extend to the domain of product reviews, where they are relevant for fine-grained opinion mining.