Results 21 to 30 of about 18,204 (266)
A survey of text aspect-based sentiment classification
Journal of Hebei University of Science and Technology, 2020 With the development of deep learning, aspect-based sentiment classification has achieved a lot of results in a single field and a single language, but there is room for improvement in multi-fields.
Shengwang LI +3 more
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Journal of Information Systems Engineering and Business Intelligence, 2023 Background: As a direct result of the Internet's expansion, the quantity of information shared by Internet users across its numerous platforms has increased.
Zishan Ahmed +2 more
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Lifelong Learning for Sentiment Classification [PDF]
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2015 This paper proposes a novel lifelong learning (LL) approach to sentiment classification. LL mimics the human continuous learning process, i.e., retaining the knowledge learned from past tasks and use it to help future learning. In this paper, we first discuss LL in general and then LL for sentiment classification in particular. The proposed LL approach
Zhiyuan Chen 0001 +2 more
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Journal of King Saud University: Computer and Information Sciences, 2016 The aim of sentiment classification is to efficiently identify the emotions expressed in the form of text messages. Machine learning methods for sentiment classification have been extensively studied, due to their predominant classification performance ...
G. Vinodhini, R.M. Chandrasekaran
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Adversarial Attack on Sentiment Classification [PDF]
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019 In this paper, we propose a white-box attack algorithm called “Global Search” method and compare it with a simple misspelling noise and a more sophisticated and common white-box attack approach called “Greedy Search”. The attack methods are evaluated on the Convolutional Neural Network (CNN) sentiment classifier trained on the IMDB movie review dataset.
Yi-Ting (Alicia) Tsai +2 more
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Applied Computational Intelligence and Soft Computing, 2018 Sentiment analysis in a movie review is the needs of today lifestyle. Unfortunately, enormous features make the sentiment of analysis slow and less sensitive. Finding the optimum feature selection and classification is still a challenge.
Asriyanti Indah Pratiwi, Adiwijaya
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Measurement: Sensors, 2023 Sentiment Analysis technique involves extracting the relevant information from Unstructured User Reviews (UUR) dataset fetched from online and classifying them into appropriate positive and negative comments for making decisions.
N. Saraswathi +2 more
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Comparative Study of Deep Learning-Based Sentiment Classification
IEEE Access, 2020 The purpose of sentiment classification is to determine whether a particular document has a positive or negative nuance. Sentiment classification is extensively used in many business domains to improve products or services by understanding the opinions ...
Seungwan Seo +4 more
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Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification
Applied Sciences, 2019 Text representation learning is an important but challenging issue for various natural language processing tasks. Recently, deep learning-based representation models have achieved great success for sentiment classification. However, these existing models
Wenkuan Li +5 more
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Sentiment Classification across Domains [PDF]
, 2009 In this paper we consider the problem of building models that have high sentiment classification accuracy without the aid of a labeled dataset from the target domain. For that purpose, we present and evaluate a novel method based on level of abstraction of nouns. By comparing high-level features (e.g.
Dinko Dimchev Lambov +2 more
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