Results 21 to 30 of about 3,029,250 (288)
A Survey on Aspect-Based Sentiment Classification [PDF]
ACM Computing Surveys, 2022 With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect-based sentiment classification (ABSC) allows for the automatic extraction of highly fine-grained sentiment information from text documents or sentences.
Gianni Brauwers, Flavius Frasincar
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Multitask Learning for Aspect-Based Sentiment Classification [PDF]
Scientific Programming, 2021 Aspect-level sentiment analysis identifies the sentiment polarity of aspect terms in complex sentences, which is useful in a wide range of applications. It is a highly challenging task and attracts the attention of many researchers in the natural language processing field.
Chunhua Yao +4 more
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Aspect Sentiment Classification with Aspect-Specific Opinion Spans [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Aspect based sentiment analysis, predicting sentiment polarity of given aspects, has drawn extensive attention. Previous attention-based models emphasize using aspect semantics to help extract opinion features for classification. However, these works are either not able to capture opinion spans as a whole, or not able to capture variable-length opinion
Lu Xu 0007 +3 more
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ENHANCED TWOFOLD-LDA MODEL FOR ASPECT DISCOVERY AND SENTIMENT CLASSIFICATION [PDF]
, 2018 There is a need to automatically classify information from online reviews. Customers want to know useful information about different aspects of a product or service and also the sentiment expressed towards each aspect.
Anderson, Terry +3 more
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Text Sentiment Classification based on Separate Embedding of Aspect and Context [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 Text sentiment classification in aspect level is one of the hottest research topics in the field of natural language processing. The purpose of the aspect-level sentiment analysis is to determine the polarity of the text according to a particular aspect.
A. Lakizadeh, E. Moradizadeh
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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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A Lexicon-Enhanced Attention Network for Aspect-Level Sentiment Analysis
IEEE Access, 2020 Aspect-level sentiment classification is a fine-grained task in sentiment analysis. In recent years, researchers have realized the importance of the relationship between aspect term and sentence and many classification models based on deep learning ...
Zhiying Ren +5 more
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Design and Implementation of Aspect-Based Sentiment Analysis Task
Computer Sciences & Mathematics Forum, 2023 This paper presents the design and implementation of a deep-learning-based aspect-level sentiment analysis model for the aspect term extraction and sentiment polarity classification of Chinese text comments.
Ningyi Zhang
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Multi-level aspect based sentiment classification of Twitter data: using hybrid approach in deep learning [PDF]
PeerJ Computer Science, 2021 Social media is a vital source to produce textual data, further utilized in various research fields. It has been considered an essential foundation for organizations to get valuable data to assess the users’ thoughts and opinions on a specific topic ...
Sadaf Hussain Janjua +3 more
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The Role of Text Pre-processing in Sentiment Analysis [PDF]
, 2013 It is challenging to understand the latest trends and summarise the state or general opinions about products due to the big diversity and size of social media data, and this creates the need of automated and real time opinion extraction and mining ...
Liu, X +8 more
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