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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 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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Aspect-Based Unsupervised Negative Sentiment Analysis
2021Twitter is a social media platform where users post their opinions on various events, products, services and celebrities. Automated analysis of these public posts is useful for tapping into public opinion and sentiment. Identifying negative public sentiment assumes importance when national security issues are at stake or when critical analysis of a ...
Mainak Ghosh, Kirtika Gupta, Seba Susan
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Aspect-Based Sentiment Analysis for User Reviews
Cognitive Computation, 2021Aspect-based sentiment analysis (ABSA) can help consumers provide clear and objective sentiment recommendations through massive quantities of data and is conducive to overcoming ambiguous human weaknesses in subjective judgments. However, the robustness and accuracy of existing sentiment analysis methods must still be improved.
Zhang, Yin +4 more
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Ontology-Enhanced Aspect-Based Sentiment Analysis
2017With many people freely expressing their opinions and feelings on the Web, much research has gone into modeling and monetizing opinionated, and usually unstructured and textual, Web-based content. Aspect-based sentiment analysis aims to extract the fine-grained topics, or aspects, that people are talking about, together with the sentiment expressed on ...
Schouten, Kim +2 more
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Hybrid sentiment classification on twitter aspect-based sentiment analysis
Applied Intelligence, 2017Social media sites and applications, including Facebook, YouTube, Twitter and blogs, have become major social media attractions today. The huge amount of information from this medium has become an attractive resource for organisations to monitor the opinions of users, and therefore, it is receiving a lot of attention in the field of sentiment analysis.
Zainuddin, Nurulhuda +2 more
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Ontological Approach for Aspect-Based Sentiment Analysis
2019 IEEE 5th International Conference on Computer and Communications (ICCC), 2019Sentiment analysis is used to quantify the sentiment of unstructured text, which could be used to draw insights on public opinions about products, services, or any topic that is of relevance. Most of the available sentiment analysis implementations provide an overall sentiment which is not sufficient because it does not provide an aspect-based ...
A.R.S. Silva +5 more
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