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Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study.

JMIR Med Inform
Deng Y, van der Meer J, Tzovara A, Schmidt M, Bassetti C, Denecke K.   +5 more
europepmc   +1 more source

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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, Shivaleela Patil, Suman A. Patil   +2 more
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Aspect Detection Enhancement for Aspect Based Sentiment Analysis

2021 International Conference on Military Communication and Information Systems (ICMCIS), 2021
This 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, Ivana Ilic Mestric, Michael Street   +2 more
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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, Du, Jinyang, Ma, Xiao, Wen, Haoyu, Fortino, Giancarlo   +4 more
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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, Selamat, Ali, Ibrahim, Roliana   +2 more
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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, Vivek Kumar Singh 0001, Pankaj Mukhija, Udayan Ghose   +3 more
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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, Yanyan Zhao, Honglei Guo, Zhong Su, Ting Liu 0001   +4 more
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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, Hui Wang 0001, Yi Ding, Kangan Zhou, Xiaowei Yan   +4 more
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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, Tri Minh Nguyen 0004, Dang Van Thin, Ngan Luu-Thuy Nguyen   +3 more
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Aspect identification and sentiment analysis based on NLP

2012 3rd IEEE International Conference on Network Infrastructure and Digital Content, 2012
This paper proposes method for aspect identification and sentiment analysis. This paper deals with the problem of sentence level. We use semantic syntax tree to extract NP nodes, a method based on slack to identify aspect and mini-support function to narrow aspect; to analyze the sentiment for the aspect we use dictionary-based method.
Li Zhang, Weiran Xu, Si Li 0001
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