Results 31 to 40 of about 12,697 (162)

Aspect Based Sentiment Analysis - Twitter

, 2022
<p>Due to the increased use and popularity of social media platforms in the most recent technological period, sentiment categorization has emerged as an important research area among those platforms. When it comes to Twitter, the main problem of previous research is, they all did a sentiment classification on the document level (Tweet level).
Jinan Fiaidhi, Vashishtha Upadhyay, AKASH LAKHANI   +2 more
openaire   +1 more source

Aspect-Specific Context Modeling for Aspect-Based Sentiment Analysis

, 2022
Aspect-based sentiment analysis (ABSA) aims at predicting sentiment polarity (SC) or extracting opinion span (OE) expressed towards a given aspect. Previous work in ABSA mostly relies on rather complicated aspect-specific feature induction. Recently, pretrained language models (PLMs), e.g., BERT, have been used as context modeling layers to simplify ...
Ma, Fang, Zhang, Chen, Zhang, Bo, Song, Dawei   +3 more
openaire   +2 more sources

Investigating the Saliency of Sentiment Expressions in Aspect-Based Sentiment Analysis [PDF]

Findings of the Association for Computational Linguistics: ACL 2023, 2023
We examine the behaviour of an aspect-based sentiment classifier built by fine-tuning the BERTBASE model on the SemEval 2016 English dataset. In a set of masking experiments, we examine the extent to which the tokens identified as salient by LIME and a gradient-based method are being used by the classifier. We find that both methods are able to produce
Wagner, Joachim, Foster, Jennifer
openaire   +2 more sources

Creating an Annotated Corpus for Aspect-Based Sentiment Analysis in Swedish

Digital Humanities in the Nordic and Baltic Countries Publications, 2020
Aspect-Based Sentiment Analysis constitutes a more fine-grained alternative to traditional sentiment analysis at sentence level. In addition to a sentiment value denoting how positive or negative a particular opinion or sentiment expression is, it ...
Jacobo Rouces, Lars Borin, Nina Tahmasebi   +2 more
doaj   +1 more source

Weakly Supervised Learning Approach for Implicit Aspect Extraction

Information, 2023
Aspect-based sentiment analysis (ABSA) is a process to extract an aspect of a product from a customer review and identify its polarity. Most previous studies of ABSA focused on explicit aspects, but implicit aspects have not yet been the subject of much ...
Aye Aye Mar, Kiyoaki Shirai, Natthawut Kertkeidkachorn   +2 more
doaj   +1 more source

Deep Learning Approach for Aspect-Based Sentiment Classification: A Comparative Review

Applied Artificial Intelligence, 2022
The emergence of various e-commerce sites has led to an increase in review sites for various services and products. People nowadays easily get information about products and services that will be used through reviews.
Komang Wahyu Trisna, Huang Jin Jie
doaj   +1 more source

Affective-Knowledge-Enhanced Graph Convolutional Networks for Aspect-Based Sentiment Analysis with Multi-Head Attention

Applied Sciences, 2023
Aspect-based sentiment analysis (ABSA) is a task in natural language processing (NLP) that involves predicting the sentiment polarity towards a specific aspect in text.
Xiaodong Cui, Wenbiao Tao, Xiaohui Cui
doaj   +1 more source

Sentiment Classification Method Based on BLSTM and Aspect Attention Module [PDF]

Jisuanji gongcheng, 2020
Aspect-Based Sentiment Analysis(ABSA) has been widely used in text information mining,but can hardly extract accurate feature information when the sentiment polarity of a sentence is fuzzy or a sentence has sentiment polarities of multiple aspects,which ...
PENG Zhuliang, LIU Bowen, FAN Cheng'an, WANG Jie, XIAO Ming, LIAO Zeen
doaj   +1 more source

Combination of Convolutional Neural Network and Gated Recurrent Unit for Aspect-Based Sentiment Analysis

IEEE Access, 2021
Aspect-based sentiment analysis (ABSA) aims to identify views and sentiment polarities towards a given aspect in reviews. Compared with general sentiment analysis, ABSA can provide more detailed and complete information.
Narisa Zhao, Huan Gao, Xin Wen, Hui Li
doaj   +1 more source

Zero-Shot Aspect-Based Sentiment Analysis

, 2022
Aspect-based sentiment analysis (ABSA) typically requires in-domain annotated data for supervised training/fine-tuning. It is a big challenge to scale ABSA to a large number of new domains. This paper aims to train a unified model that can perform zero-shot ABSA without using any annotated data for a new domain.
Shu, Lei, Xu, Hu, Liu, Bing, Chen, Jiahua   +3 more
openaire   +2 more sources