Results 41 to 50 of about 446,831 (348)

Attention-based Sentiment Reasoner for aspect-based sentiment analysis [PDF]

open access: yesHuman-centric Computing and Information Sciences, 2019
AbstractAspect-based sentiment analysis (ABSA) is a powerful way of predicting the sentiment polarity of text in natural language processing. However, understanding human emotions and reasoning from text like a human continues to be a challenge. In this paper, we propose a model, named Attention-based Sentiment Reasoner (AS-Reasoner), to alleviate the ...
Ning Liu 0027   +4 more
openaire   +1 more source

Zero-Shot Aspect-Based Sentiment Analysis

open access: yesCoRR, 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.
Lei Shu 0004   +3 more
openaire   +2 more sources

SemEval-2014 Task 4: Aspect Based Sentiment Analysis

open access: yesInternational Workshop on Semantic Evaluation, 2014
Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of current approaches, however, attempt to detect the overall polarity of a sentence, paragraph, or text span, irrespective of the ...
Maria Pontiki   +5 more
semanticscholar   +1 more source

A disentangled linguistic graph model for explainable aspect-based sentiment analysis

open access: yes, 2023
Aspect-based sentiment analysis (ABSA) aims to use interactions between aspect terms and their contexts to predict sentiment polarity for given aspects in sentences.
Zhou, Yougen   +5 more
core   +1 more source

ASPECT-BASED SENTIMENT ANALYSIS METHODS IN RECENT YEARS

open access: yesAsia-Pacific Journal of Information Technology and Multimedia, 2019
Sentiment Analysis (SA) is the computational treatment of opinions, sentiments and subjectivity of text. Aspect-based Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each ...
Zohreh Madhoushi   +2 more
doaj   +1 more source

Aspect based sentiment analysis [PDF]

open access: yes, 2021
Τα συστήματα Ανάλυσης Συναισθήματος Βασισμένης σε Χαρακτηριστικά (Aspect Based Sentiment Analysis, ABSA) δέχονται ως είσοδο ένα σύνολο κειμένων (π.χ. κριτικές προϊόντων ή μηνύματα κοινωνικών δικτύων) που σχολιάζουν μια συγκεκριμένη οντότητα (π.χ. ένα συγκεκριμένο μοντέλου κινητού τηλεφώνου). Επιχειρούν να εντοπίσουν τα κυριότερα (π.χ.
openaire   +1 more source

Deep learning-based application for multilevel sentiment analysis of Indonesian hotel reviews

open access: yesHeliyon, 2023
Purpose: In this study, we present a web-based application that retrieves hotel review documents in Indonesian languages from an online travel agent (OTA) and analyses their sentiments from the coarse-grained document to the fine-grained aspect level ...
Retno Kusumaningrum   +4 more
doaj   +1 more source

Aspect-based sentiment analysis of Sindhi newspaper articles

open access: yes, 2022
Aspect-Based Sentiment Analysis (ABSA) is a type of sentiment analysis that categorizes the polarity of sentiment based on the most important attributes of an entity related to a product, service or target.
Buller, Abdul Hafeez   +3 more
core   +1 more source

Syntax-enhanced aspect-based sentiment analysis with multi-layer attention

open access: yes, 2023
As a key task of fine-grained sentiment analysis, aspect-based sentiment analysis aims to analyse people’s opinions at the aspect level from user-generated texts.
Jiang, Jianhua   +9 more
core   +1 more source

Employing relation extraction technology to jointly recognize aspect-polarity pairs in a text

open access: yes四川大学学报. 自然科学版, 2022
Aspect-based sentiment analysis aims to identify the aspects mentioned in sentences and their sentiment polarity, which is an important task in fine-grained sentiment analysis.
BU Ling-Mei   +3 more
doaj  

Home - About - Disclaimer - Privacy