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Learning Latent Opinions for Aspect-level Sentiment Classification
Proceedings of the AAAI Conference on Artificial Intelligence, 2018Aspect-level sentiment classification aims at detecting the sentiment expressed towards a particular target in a sentence. Based on the observation that the sentiment polarity is often related to specific spans in the given sentence, it is possible to make use of such information for better classification.
Bailin Wang, Wei Lu 0011
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Multi-source data fusion for aspect-level sentiment classification
Knowledge-Based Systems, 2020Abstract Neural networks have achieved great success in aspect-level sentiment classification due to their ability to learn sentiment knowledge from text. Generally, the effectiveness of neural networks relies on sufficiently large training corpora. However, existing aspect-level corpora are relatively small, which greatly limits the performance of ...
Fang Chen +2 more
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Incorporating explicit syntactic dependency for aspect level sentiment classification
Neurocomputing, 2021Abstract Aspect level sentiment classification aims to extract fine-grained sentiment expressed towards specific aspects from a sentence. The key to this task lies in connecting aspects and their respective sentiment contexts. Existing methods measure the dependency weights between aspects and context words via either the semantic similarity between ...
Wenjun Ke 0002 +3 more
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Aspect Level Sentiment Classification with Semantic Distance Attention Networks
2021 2nd International Conference on Computing, Networks and Internet of Things (CNIOT 2021), 2021Aspect-Based Sentiment Analysis (ABSA) is a kind of sentiment analysis, which extracts opinions expressed for all aspects of the entity. Compared with document-level and sentence-level sentiment analysis tasks, aspect-level sentiment analysis tasks are more granular and more challenging.
Xiaohong Cai +4 more
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Aspect-Level Sentiment Classification with Conv-Attention Mechanism
2018The aim of aspect-level sentiment classification is to identify the sentiment polarity of a sentence about a target aspect. Existing methods model the context sequence with recurrent network and employ attention mechanism to generate aspect-specific representations.
Qian Yi +3 more
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Revising Attention with Position for Aspect-Level Sentiment Classification
2019As a fine-grained classification task, aspect-level sentiment classification aims at determining the sentiment polarity given a particular target in a sentence. The key point of this task is to distinguish target-related words and target-unrelated words. To this end, attention mechanism is introduced into this task, which assigns high attention weights
Dong Wang 0029 +2 more
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An LSTM-CNN attention approach for aspect-level sentiment classification
Journal of Computational Methods in Sciences and Engineering, 2019Opinions in complex reviews often vary on different aspects of a thing. Coarse-grained sentiment analysis on a sentence can’t capture the sentiment polarity of it accurately. Therefore, aspect-level sentiment classification is a better choice because it is a fine-grained task in sentiment analysis.
Ming Jiang 0009 +4 more
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Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017Aspect-level sentiment classification is a fine-grained sentiment analysis task, which aims to predict the sentiment of a text in different aspects. One key point of this task is to allocate the appropriate sentiment words for the given aspect.Recent work exploits attention neural networks to allocate sentiment words and achieves the state-of-the-art ...
Jiajun Cheng +5 more
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Sentiment Analysis using Aspect Level Classification
2016The natural language text is analyzed by using sentiment analysis and classified into positive, negative or neutral based on the human emotions, sentiments, opinions expressed in the text. The user reviews and comments on movies on the web are increasing day by day. And to make a decision in movie planning, these reviews are useful for other users.
Patil, Priyanka, Yalagi, Pratibha
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Dependency Parsing and Attention Network for Aspect-Level Sentiment Classification
2018Aspect-level sentiment classification aims to determine the sentiment polarity of the sentence towards the aspect. The key element of this task is to characterize the relationship between the aspect and the contexts. Some recent attention-based neural network methods regard the aspect as the attention calculation goal, so they can learn the association
Zhifan Ouyang, Jindian Su
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