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Analyzing public opinion on China's "Double Reduction" policy: A sentiment and content analysis of microblog discourse. [PDF]
Liu S, Feng B.
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Emotion meets coordination: Designing multi-agent LLMs for fine-grained user sentiment detection on social media. [PDF]
Dong H, Bao Z, Li M, Yang Z.
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Multilingual sentiment analysis in restaurant reviews using aspect focused learning. [PDF]
Rahman A +6 more
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Aspect Based Sentiment Analysis
2024 5th International Conference for Emerging Technology (INCET)Σε αυτή την εργασία, γίνεται μια έρευνα στον επιστημονικό χώρο της εξαγωγής συναισθήματος από κοινωνικά δίκτυα μέσω της υλοποίησης του κλασικού αλγορίθμου των Hu & Liu που παρουσιάζεται στο paper “Mining Opinion Features in Customer Reviews”. Συμπεριλαμβανομένου του αλγορίθμου Apriori που είναι ενσωματωμένος ως τμήμα της διαδικασίας, κάθε βήμα του ...
Vijayalaxmi V. Tadkal +2 more
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Aspect-based sentiment analysis using adaptive aspect-based lexicons
Expert Systems with Applications, 2020Abstract Reviews expressed in e-commerce websites have formed an important source of information for both consumers and enterprises. Text sentiment analysis approaches aim to detect the sentiments of written reviews in order to achieve a better understanding of public opinion towards entities.
Mohammad Erfan Mowlaei +2 more
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Aspect Detection Enhancement for Aspect Based Sentiment Analysis
2021 International Conference on Military Communication and Information Systems (ICMCIS), 2021This paper proposes a new approach to aspect-based sentiment analysis to provide a more accurate insight about sentiment towards certain aspects relevant for the military environment. The goal of this paper is to obtain an assessment of different approaches to aspect detection applicable to NATO specific corpora.
Adelica Ndoni +2 more
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Aspect based sentiment analysis in music
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 2022Nowadays, there are more and more social networks and Web platforms that give their users the opportunity to share their opinions and tastes on items of different types. This inevitably led to a growth of data relating to the subjective sphere of each individual.
Biancofiore G. M. +4 more
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