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Towards Generative Aspect-Based Sentiment Analysis [PDF]

open access: yesProceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021
Aspect-based sentiment analysis (ABSA) has received increasing attention recently. Most existing work tackles ABSA in a discriminative manner, designing various task-specific classification networks for the prediction. Despite their effectiveness, these methods ignore the rich label semantics in ABSA problems and require extensive task-specific designs.
Wenxuan Zhang 0001   +4 more
openaire   +2 more sources

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

Aspect-based Sentiment Analysis of Scientific Reviews [PDF]

open access: yesProceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, 2020
Accepted in JCDL ...
Souvic Chakraborty   +2 more
openaire   +2 more sources

Aspect-Based Sentiment Analysis Using Aspect Map

open access: yesApplied Sciences, 2019
Aspect-based sentiment analysis (ABSA) is the task of classifying the sentiment of a specific aspect in a text. Because a single text usually has multiple aspects which are expressed independently, ABSA is a crucial task for in-depth opinion mining.
Yunseok Noh   +2 more
doaj   +1 more source

Sentiment and preference guided social recommendation [PDF]

open access: yes, 2016
© Springer International Publishing Switzerland 2014. Social recommender systems harness knowledge from social experiences, expertise and interactions.
Chen, Yokeyie   +3 more
core   +1 more source

DCU: aspect-based polarity classification for SemEval task 4 [PDF]

open access: yes, 2014
We describe the work carried out by DCU on the Aspect Based Sentiment Analysis task at SemEval 2014. Our team submitted one constrained run for the restaurant domain and one for the laptop domain for sub-task B (aspect term polarity prediction), ranking ...
Arora, Piyush   +6 more
core   +2 more sources

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

open access: yesDigital 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   +2 more
doaj   +1 more source

Detailing Sentiment Analysis to Consider Entity Aspects: An Approach for Portuguese Short Texts [PDF]

open access: yes, 2018
Sentiment analysis is useful for identifying trends, or for discovering user preferences, which can later be applied to campaign targeting or recommendations.
Mourão, Mário   +2 more
core   +1 more source

A Multi-modal Approach to Fine-grained Opinion Mining on Video Reviews [PDF]

open access: yes, 2020
Despite the recent advances in opinion mining for written reviews, few works have tackled the problem on other sources of reviews. In light of this issue, we propose a multi-modal approach for mining fine-grained opinions from video reviews that is able ...
Balazs, Jorge A.   +4 more
core   +2 more sources

Weakly Supervised Learning Approach for Implicit Aspect Extraction

open access: yesInformation, 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   +2 more
doaj   +1 more source

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