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Aspect-level Sentiment Classification with Reinforcement Learning
2019 International Joint Conference on Neural Networks (IJCNN), 2019Aspect-level sentiment classification aims to predict the sentiment polarity of a given aspect in a sentence. However, most of the existing methods focus on the information of the entire sentence rather than a segment that describes the aspect, making it difficult to identify the mapping between an aspect and a segment.
Tingting Wang +3 more
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Better Queries for Aspect-Category Sentiment Classification
2020Aspect-category sentiment classification (ACSC) aims to identify the sentiment polarities towards the aspect categories mentioned in a sentence. Because a sentence often mentions more than one aspect category and expresses different sentiment polarities to them, finding aspect category-related information from the sentence is the key challenge to ...
Yuncong Li +6 more
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Aspect-category-based sentiment classification with aspect-opinion relation
2016 Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2016In recent years, researches of aspect-category-based sentiment analysis have been approached in terms of predefined categories. In this paper, we target two sub-tasks of SemEval-2014 Task 4 dedicated to aspect-based sentiment analysis: detecting aspect category and aspect category polarity.
Yi-Lin Tsai +4 more
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Ensemble correction model for aspect-level sentiment classification
Journal of Information Science, 2022The aspect-level sentiment analysis is widely used in public opinion analysis. However, the problem of context information loss and distortion with the increase of the model depth is rarely considered in previous research. Few studies have attempted to combine the feature extracted from different embedding models. Based on the correction strategy, the
Yiwen Zhou, Lu An, Gang Li, Chuanming Yu
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A Convolutional Neural Network for Aspect-Level Sentiment Classification
International Journal of Pattern Recognition and Artificial Intelligence, 2019Sentiment analysis, including aspect-level sentiment classification, is an important basic natural language processing (NLP) task. Aspect-level sentiment can provide complete and in-depth results. Words with different contexts variably influence the aspect-level sentiment polarity of sentences, and polarity varies based on different aspects of a ...
Yongping Xing +3 more
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Structural Position Network for Aspect-Based Sentiment Classification
2020Aspect-based sentiment classification aims to discriminate the polarity of each aspect term for a given sentence. Previous works mainly focus on sequential modeling and aspect representations. However, the syntactical information and relative structural position of aspect in sentence are neglected, resulting in some irrelevant contextual words as clues
Pu Song +5 more
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Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi
2018E-commerce markets in developing countries (e.g. India) have witnessed a tremendous amount of user’s interest recently. Product reviews are now being generated daily in huge amount. Classifying the sentiment expressed in a user generated text/review into certain categories of interest, for example, positive or negative is famously known as sentiment ...
Md. Shad Akhtar +2 more
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XRCE: Hybrid Classification for Aspect-based Sentiment Analysis
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014In this paper, we present the system we have developed for the SemEval-2014 Task 4 dedicated to Aspect-Based Sentiment Analysis. The system is based on a robust parser that provides information to feed different classifiers with linguistic features dedicated to aspect categories and aspect categories polarity classification.
Caroline Brun +2 more
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Effective Attention Networks for Aspect-level Sentiment Classification
2018 10th International Conference on Knowledge and Systems Engineering (KSE), 2018This paper deals with the aspect-level sentiment classification which identifies the sentiment polarity of a specific aspect of its context. We introduce novel attention networks by using the benefits of Long Short-Term Memory (LSTM), Attention mechanisms and Lexicons to form an aspect-specific representation.
Huy-Thanh Nguyen, Minh-Le Nguyen 0001
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Lifelong Learning Memory Networks for Aspect Sentiment Classification
2018 IEEE International Conference on Big Data (Big Data), 2018Aspect sentiment classification (ASC) is a fundamental task in sentiment analysis. It aims at classifying the sentiment expressed on some target aspects/features of entities (e.g., products and services). Although a great deal of research has been done, this task remains to be very challenging.
Shuai Wang 0020 +4 more
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