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Aspect Based Sentiment Analysis

2024 5th International Conference for Emerging Technology (INCET)
Aspect Based Sentiment Analysis (ABSA) systems receive as input a set of texts (e.g.,product reviews or messages from social media) discussing a particular entity (e.g., anew model of a mobile phone). The systems attempt to detect the main (e.g., the mostfrequently discussed) aspects (features) of the entity (e.g., ‘battery’, ‘screen’) and toestimate ...
Vijayalaxmi V. Tadkal   +2 more
  +5 more sources

Aspect-Based Sentiment Analysis for User Reviews

Cognitive Computation, 2021
Aspect-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
openaire   +1 more source

Hybrid sentiment classification on twitter aspect-based sentiment analysis

Applied Intelligence, 2017
Social 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
openaire   +2 more sources

Aspect-based sentiment analysis of mobile reviews

Journal of Intelligent & Fuzzy Systems, 2019
E-commerce websites provide an easy platform for users to put forth their viewpoints on different topics-ranging from a news item to any product in the market. Such online content encourages authors to express opinions on various aspects of an entity.
Vedika Gupta   +3 more
openaire   +1 more source

Data augmentation for aspect-based sentiment analysis

International Journal of Machine Learning and Cybernetics, 2022
In recent years, deep learning has been widely used in the field of natural language processing (NLP), achieving spectacular successes in various NLP tasks. These successes are largely due to its capability to automatically learn feature representations from text data.
Guangmin Li   +4 more
openaire   +2 more sources

Sentence Compression for Aspect-Based Sentiment Analysis

IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2015
Sentiment analysis, which addresses the computational treatment of opinion, sentiment, and subjectivity in text, has received considerable attention in recent years. In contrast to the traditional coarse-grained sentiment analysis tasks, such as document-level sentiment classification, we are interested in the fine-grained aspect-based sentiment ...
Wanxiang Che   +4 more
openaire   +1 more source

A corpus for aspect-based sentiment analysis in Vietnamese

2019 11th International Conference on Knowledge and Systems Engineering (KSE), 2019
Recently, researchers have shown an increased interest in the aspect-based sentiment analysis problem. The goal is to extract valuable information concerning the aspects mentioned in users comments. This problem can be divided into three sub-tasks: term extraction, aspect detection, and polarity detection.
Minh-Hao Nguyen   +3 more
openaire   +1 more source

Aspect-based sentiment analysis using adaptive aspect-based lexicons

Expert Systems with Applications, 2020
Abstract 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
openaire   +1 more source

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