Aspect-based sentiment analysis using deep networks and stochastic optimization
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04105-z
Abstract: Sentiment analysis, also known as opinion mining, is a computational study of unstructured textual information which is used to analyze a persons attitude from a piece of text. This paper proposes an efficient method for… read more here.
Keywords: based sentiment; sentiment; aspect based; optimization ... See more keywords
A novel aspect-based sentiment classifier using whale optimized adaptive neural network
Sign Up to like & getrecommendations! Published in 2022 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06660-w
Abstract: In the field of e-commerce applications, nowadays the aspect-based sentiment analysis has become vital and every consumer started focusing on various aspects of the product before making the purchase decision through online portals like Amazon,… read more here.
Keywords: aspect based; sentiment classification; sentiment; neural network ... See more keywords
Is position important? deep multi-task learning for aspect-based sentiment analysis
Sign Up to like & getrecommendations! Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01760-x
Abstract: The position information of aspect is essential and useful for aspect-based sentiment analysis, while how to model the position of the aspect effectively during aspect-based sentiment analysis has not been well studied. Inspired by the… read more here.
Keywords: based sentiment; position; sentiment; aspect based ... See more keywords
Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-0799-4
Abstract: This paper proposes a state-of-the-art research for aspect-based sentiment analysis of Arabic Hotels’ reviews using two implementations of long short-term memory (LSTM) neural networks. The first one is (a) a character-level bidirectional LSTM along with… read more here.
Keywords: sentiment; long short; aspect based; analysis arabic ... See more keywords
An assessment of opinions and perceptions of smart thermostats using aspect-based sentiment analysis of online reviews
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2019.106603
Abstract: Abstract Smart thermostats have been on the market for nearly a decade, with an estimated adoption rate of 7% in 2018. With many regions of the U.S. having a heating and/or cooling system in nearly… read more here.
Keywords: assessment opinions; online reviews; analysis; smart thermostats ... See more keywords
Improving aspect-based sentiment analysis via aligning aspect embedding
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.035
Abstract: Abstract Aspect-Based Sentiment Analysis (ABSA) is a fine-grained sentiment analysis task, which aims to predict sentiment polarities of given aspects or target terms in text. ABSA contains two subtasks: Aspect-Category Sentiment Analysis (ACSA) and Aspect-Term… read more here.
Keywords: sentiment analysis; aspect embeddings; sentiment; aspect based ... See more keywords
Aspect-based sentiment classification with multi-attention network
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.024
Abstract: Abstract Aspect-based sentiment classification aims to predict the sentiment polarity of an aspect term in a sentence instead of the sentiment polarity of the entire sentence. Neural networks have been used for this task, and… read more here.
Keywords: based sentiment; multi attention; sentiment; aspect based ... See more keywords
A hierarchical and parallel framework for End-to-End Aspect-based Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.09.021
Abstract: Abstract Pipeline, joint, and collapsed models are three major approaches to solving End-to-End Aspect-based Sentiment Analysis (E2E-ABSA) task. Prior works found that joint models were consistently surpassed by the other two. To explore the potential… read more here.
Keywords: end aspect; hierarchical parallel; based sentiment; aspect based ... See more keywords
Enhancing Aspect-Based Sentiment Analysis With Capsule Network
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997675
Abstract: Existing feature-based neural approaches for aspect-based sentiment analysis (ABSA) try to improve their performance with pre-trained word embeddings and by modeling the relations between the text sequence and the aspect (or category), thus heavily depending… read more here.
Keywords: aspect based; based sentiment; aspect; capsule network ... See more keywords
Aspect Based Multi-Labeling Using SVM Based Ensembler
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3055768
Abstract: Sentiment analysis is one of the most prominent sub-areas of research in Natural Language Processing (NLP), where it is important to consider implicit or explicit emotions conveyed by review material. Researchers also recognized that the… read more here.
Keywords: multi labeling; multi label; aspect based; based multi ... See more keywords
Cross-Platform Reputation Generation System Based on Aspect-Based Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2021.3139956
Abstract: The active growth of Internet-based applications such as social networks and e-commerce websites leads people to generate a tremendous amount of opinions and reviews about products and services. Thus, it becomes very crucial to automatically… read more here.
Keywords: system; reputation generation; based sentiment; reputation ... See more keywords