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Extracting all Aspect-polarity Pairs Jointly in a Text with Relation Extraction Approach [article]

Lingmei Bu, Li Chen, Yongmei Lu, Zhonghua Yu
2021 arXiv   pre-print
In order to remedy the above defects, in-spiring from the recent advancements in relation extraction, we propose to generate aspect-polarity pairs directly from a text with relation extraction technology  ...  While the existing approaches to this task have gained many progresses, they are limited at capturing relationships among aspect-polarity pairs in a text, thus degrading the extraction performance.  ...  a position-and aspect-aware attentions for extracting aspect-polarity pairs in a text jointly.  ... 
arXiv:2109.00256v1 fatcat:sar2dgm46rbf5hymgtwedef3ze

A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis [article]

Yue Mao, Yi Shen, Chao Yu, Longjun Cai
2021 arXiv   pre-print
Some recent work focused on solving a combination of two subtasks, e.g., extracting aspect terms along with sentiment polarities or extracting the aspect and opinion terms pair-wisely.  ...  However, previous approaches fail to solve all subtasks in a unified end-to-end framework. In this paper, we propose a complete solution for ABSA.  ...  The left MRC is constructed with the query q 1 = "Find the aspect terms in the text." Then the answer to the left MRC is all ATs from the text.  ... 
arXiv:2101.00816v2 fatcat:yjr4kjdznfemrls6gbfuk4osyy

A Study of Different Approaches to Aspect-based Opinion Mining

Pratima More, Archana Ghotkar
2016 International Journal of Computer Applications  
Our experimental results based on some of the aspect extraction techniques, gives an idea of which aspect extraction techniques are efficient and yield accurate results in practical opinion mining applications  ...  Opinion mining is the computational study of people's opinion expressed in written language or text towards entities and their aspects.  ...  The F-score measure for frequency based method is 38% and for relation based method it's 52%, thus aspect extraction task accuracy is increased with relation based approach.  ... 
doi:10.5120/ijca2016910712 fatcat:f4pjna4vabe2jlk2xbrq7fkjvi

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis [article]

Siva Uday Sampreeth Chebolu, Franck Dernoncourt, Nedim Lipka, Thamar Solorio
2021 arXiv   pre-print
In this article, we propose transforming ABSA into an abstract summary-like conditional text generation task that uses targets, aspects, and polarities to generate auxiliary statements.  ...  the sentiment expressed towards the target and aspect pair.  ...  With a conditional text generation model, we tackle numerous ABSA sub-tasks, including many sentiment pair and triplet extraction tasks, by constructing the target sentences with our suggested pseudo-phrases  ... 
arXiv:2110.02334v2 fatcat:kerbfllfevcgxesrq4g552nhfu

Aspect-Based Sentiment Analysis Methods in Recent Years

Zohreh Madhoushi Zohreh Madhoushi, Abdul Razak Hamdan, Suhaila Zainudin
2019 Asia-Pacific Journal of Information Technology and Multimedia  
Aspectbased Sentiment Analysis (ABSA) is a specific SA that aims to extract most important aspects of an entity and predict the polarity of each aspect from the text.  ...  A review of the recent state-of-the-art in ABSA, shows the remarkable growing in finding both aspect, and the corresponding sentiment.  ...  Some recent works try to jointly extract aspects and their polarity in a single phase (Moghaddam & Ester 2011; Sauper & Barzilay 2014) .  ... 
doi:10.17576/apjitm-2019-0801-07 fatcat:2gir4dae2rgp5kzx6njx5zvvla

Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis [article]

Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Gaeun Seo, EungGyun Kim, Harksoo Kim
2021 arXiv   pre-print
In addition, identifying multiple aspect-opinion pairs with their polarities is much more challenging.  ...  Existing works for aspect-based sentiment analysis (ABSA) have adopted a unified approach, which allows the interactive relations among subtasks.  ...  In ABSA, it is important to accurately predict all aspects and corresponding sentiment polarities in a sentence.  ... 
arXiv:2106.03806v1 fatcat:7ts6t32slvh7hp5oa4j3r4z7ay

GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis [article]

Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang
2020 arXiv   pre-print
In this paper, we focus on the imbalance issue, which is rarely studied in aspect term extraction and aspect sentiment classification when regarding them as sequence labeling tasks.  ...  Specifically, a cascaded labeling module is developed to enhance the interchange between aspect terms and improve the attention of sentiment tokens when labeling sentiment polarities.  ...  Compared with the separate methods, this approach can concisely generate all aspect term-polarity pairs of input sentences.  ... 
arXiv:2009.10557v2 fatcat:bz6vqrc5v5fyna26itqu7votha

BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis [article]

Ahmed Murtadha, Shengfeng Pan, Bo Wen, Jianlin Su, Wenze Zhang, Yunfeng Liu
2022 arXiv   pre-print
Aspect-based sentiment analysis (ABSA) task aims to associate a piece of text with a set of aspects and meanwhile infer their respective sentimental polarities.  ...  In this paper, we propose to jointly address aspect categorization and aspect-based sentiment subtasks in a unified framework.  ...  Aspect Seed Extraction A significant proportion of the text is tagged with different aspects.  ... 
arXiv:2203.11702v1 fatcat:re2ibha7crfzxi4ospnfb7is6a

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction [article]

Lu Xu, Yew Ken Chia, Lidong Bing
2021 arXiv   pre-print
In particular, our analysis shows that our span-level approach achieves more significant improvements over the baselines on triplets with multi-word targets or opinions.  ...  To ease the high computational cost caused by span enumeration, we propose a dual-channel span pruning strategy by incorporating supervision from the Aspect Term Extraction (ATE) and Opinion Term Extraction  ...  ., 2019) uses a unified tagging scheme to jointly extract the aspect term and associated sentiment.  ... 
arXiv:2107.12214v1 fatcat:x5lpkgrwrvg33bh75k3pxuv74m

Implicit Aspect Extraction for Sentiment Analysis: A Survey of Recent Approaches

Vaishali Ganganwar, R. Rajalakshmi
2019 Procedia Computer Science  
Explicit aspects) or sometimes the aspects must be inferred from the text (implicit aspects).Detecting implicit aspects is challenging but very important and limited studies focused on the extraction of  ...  Explicit aspects) or sometimes the aspects must be inferred from the text (implicit aspects).Detecting implicit aspects is challenging but very important and limited studies focused on the extraction of  ...  And in final phase the naïve Bayes classification is tested for all terms with respect to aspects. The model is improved by eliminating the noisy WN related words.  ... 
doi:10.1016/j.procs.2020.01.010 fatcat:ym2pixhrjraydjnvbszzhksa74

A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis [article]

Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong
2022 arXiv   pre-print
In this paper, we focus on aspect-based sentiment analysis, which involves extracting aspect term, category, and predicting their corresponding polarities.  ...  Our evaluation results on the single-task polarity prediction show that our approach outperforms the previous state-of-the-art (based on BERT) on average performance by a large margins in few-shot and  ...  They rank all aspect categories with different polarities and select the pair with highest score.  ... 
arXiv:2204.05356v1 fatcat:bhh7upamnvguxoqwce6f3f6raq

SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis [article]

Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang, Feng Wu
2020 arXiv   pre-print
In particular, the prediction of aspect-sentiment pairs is converted into multi-label classification, aiming to capture the dependency between words in a pair.  ...  Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches.  ...  Finally, the polarity of a word is determined by the difference between its PMI scores with all positive seeds and that with all negative seeds.  ... 
arXiv:2005.05635v2 fatcat:4dutgfb32naeviokmuikwdzcyu

DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction

Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang
2019 Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics  
The former task is to extract aspects of a product or service from an opinion document, and the latter is to identify the polarity expressed in the document about these extracted aspects.  ...  This paper focuses on two related subtasks of aspect-based sentiment analysis, namely aspect term extraction and aspect sentiment classification, which we call aspect term-polarity co-extraction.  ...  The joint approach jointly labels each sentence with two different tag sets: aspect term tags and polarity tags.  ... 
doi:10.18653/v1/p19-1056 dblp:conf/acl/LuoLLZ19 fatcat:islbh2zpnjhvlhxe2en6ds7ih4

SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis [article]

Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang
2021 arXiv   pre-print
semantic graphs for sentiment analysis.In particular, we introduce Semantic Graphs based Pre-training(SGPT) using semantic graphs to obtain synonym knowledge for aspect-sentiment pairs and similar aspect  ...  studies ignore the importance of sentimental information for pre-trained models.Therefore, we fully investigate the sentimental information for pre-trained models and enhance pre-trained language models with  ...  As shown in Figure 1 , we firstly construct a semantic graph with pair-wise aspect and sentiment term relations, and similarity relations among aspect and sentiment terms.  ... 
arXiv:2105.12305v1 fatcat:f7nyyzeeirbfvch3y5crmb2w2a

A Joint Model for Topic-Sentiment Evolution over Time

Mohamed Dermouche, Julien Velcin, Leila Khouas, Sabine Loudcher
2014 2014 IEEE International Conference on Data Mining  
In this paper, we propose an LDA-based topic model for analyzing topic-sentiment evolution over time by modeling time jointly with topics and sentiments.  ...  Most existing topic models focus either on extracting static topic-sentiment conjunctions or topic-wise evolution over time leaving out topic-sentiment dynamics and missing the opportunity to provide a  ...  All of these information are extracted simultaneously and jointly without any post-processing. Our approach has three main features that are not jointly addressed by other models of the literature.  ... 
doi:10.1109/icdm.2014.82 dblp:conf/icdm/DermoucheVKL14 fatcat:5w7quhvybjez3bcs7mq67ytnwy
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