Filters








6,930 Hits in 6.5 sec

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning [article]

Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 arXiv   pre-print
In this work, we propose to incorporate the syntactic structures of the sentences into the deep learning models for TOWE, leveraging the syntax-based opinion possibility scores and the syntactic connections  ...  Targeted opinion word extraction (TOWE) is a sub-task of aspect based sentiment analysis (ABSA) which aims to find the opinion words for a given aspect-term in a sentence.  ...  supported in part by the Office of the Director of National Intelli-gence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA Contract No. 2019-19051600006 under the Better Extraction  ... 
arXiv:2010.13378v1 fatcat:rcuh74sfrfcnfn324kesklg5za

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)   unpublished
In this work, we propose to incorporate the syntactic structures of the sentences into the deep learning models for TOWE, leveraging the syntax-based opinion possibility scores and the syntactic connections  ...  Targeted opinion word extraction (TOWE) is a sub-task of aspect based sentiment analysis (ABSA) which aims to find the opinion words for a given aspect-term in a sentence.  ...  work supported in part by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA Contract No. 2019-19051600006 under the Better Extraction  ... 
doi:10.18653/v1/2020.emnlp-main.719 fatcat:olqx5sm2yfet7pz54x3uavv24a

Deep2S: Improving Aspect Extraction in Opinion Mining with Deep Semantic Representation

Xuelian Li, Bi Wang, Lixin Li, Zhiqiang Gao, Qian Liu, Hancheng Xu, Lanting Fang
2020 IEEE Access  
Deep2S integrates deep semantic representation such as Abstract Meaning Representation (AMR) with syntactic structure.  ...  INDEX TERMS Opinion mining, aspect extraction, abstract meaning representation, deep semantic representation, logic programming.  ...  SYNTACTICAL RULES In this work, syntactical dependency relations between opinion words and opinion targets are adopted to extract opinion targets.  ... 
doi:10.1109/access.2020.2999673 fatcat:eu7unntehzgthkxtp526hjzgwu

Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction

Wenya Wang, Sinno Jialin Pan
2019 Computational Linguistics  
Existing studies have shown that the syntactic relations between aspect and opinion words play an important role for aspect and opinion terms extraction.  ...  The conditional domain adversarial network helps to learn domaininvariant hidden representation for each word conditioned on the syntactic structure.  ...  Existing work shows that syntactic structure plays an important role for propagating information between aspect and opinion words, yet they fail to associate feature learning with syntactic relation learning  ... 
doi:10.1162/coli_a_00362 fatcat:topw3vnee5ao7aevhc6sd7axdq

Review highlights: opinion mining on reviews

Amit Kushwaha, Shubham Chaudhary
2017 Proceedings of the 1st International Conference on Internet of Things and Machine Learning - IML '17  
We introduce a hybrid technique which combines machine learning and rule based model. A multi-label classifier identifies the effective rules which efficiently parse aspects and opinions from texts.  ...  This selection of rules reduce the amount of noise in extraction tasks. This is a novel attempt to learn syntactic rule fitness from a corpus using machine learning for accurate aspect extraction.  ...  Bo Wang and Min Liu [13] introduced Deep Learning framework for ABSA. They proposed parse tree distances for dependency extraction and the lexical sentiment present in the sentence.  ... 
doi:10.1145/3109761.3158385 dblp:conf/iml/KushwahaC17 fatcat:ntkh4yb3t5e4fclgnj2xqosxqy

Deep Learning for Sentiment Analysis : A Survey [article]

Lei Zhang, Shuai Wang, Bing Liu
2018 arXiv   pre-print
Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years.  ...  Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results.  ...  Ltd with a research gift.  ... 
arXiv:1801.07883v2 fatcat:nplicfgaozb6fbfx4eyts4zt7e

Joint Opinion Relation Detection Using One-Class Deep Neural Network

Liheng Xu, Kang Liu, Jun Zhao
2014 International Conference on Computational Linguistics  
A valid opinion relation has three requirements: a correct opinion word, a correct opinion target and the linking relation between them.  ...  Previous works prone to only verifying two of these requirements for opinion extraction, while leave the other requirement unverified. This could inevitably introduce noise terms.  ...  DP-HITS does not extract opinion words so their results for opinion words are not taken into account.  ... 
dblp:conf/coling/XuLZ14 fatcat:2bxjoyhgffgincsxwfprsqaeue

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model

Jingyuan Zhang, Zequn Zhang, Zhi Guo, Li Jin, Kang Liu, Qing Liu, Raşit Köker
2021 Computational Intelligence and Neuroscience  
Specifically, we introduce a template-based pseudo-question generation method and utilize deep attention interaction to build target-aware context representations and extract related opinion words.  ...  To take advantage of latent structural correlations, we further cast the opinion-target structure into three distinct yet correlated views and leverage meta-learning to aggregate common knowledge among  ...  that incorporates the syntactic structures of the sentences through learning syntax-based opinion possibility scores and syntactic connections.  ... 
doi:10.1155/2021/6645871 pmid:33859680 pmcid:PMC8024080 fatcat:sm7sigzftffqlg4vbul3luud34

Contextual Graph Attention Network for Aspect-Level Sentiment Classification

Yuqing Miao, Ronghai Luo, Lin Zhu, Tonglai Liu, Wanzhen Zhang, Guoyong Cai, Ming Zhou
2022 Mathematics  
The proposed model adopts two graph attention networks to aggregate syntactic structure information into target aspects and employs a contextual attention network to extract semantic information in sentence-aspect  ...  To address the issues of insufficient semantic information extraction and high computational complexity of attention mechanisms in existing aspect-level sentiment classification models based on deep learning  ...  Afterward, for mining more comprehensive syntactic structure information, Dozat [15] used deep learning to parse dependencies between words without manual design.  ... 
doi:10.3390/math10142473 fatcat:aoeel3ed25hehp6hpidxmoixpm

Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission [chapter]

Lindong Guo, Shengyi Jiang, Wenjing Du, Suifu Gan
2018 Lecture Notes in Computer Science  
transmission between recurrent units, thereby making it possible to learn structural syntactic phenomena.  ...  utility of morphological information and syntactic structures for capturing the affinity between aspect words and their contexts.  ...  Therefore, the deep learning based aspect term extraction has become an important research direction in this field. Liu et al.  ... 
doi:10.1007/978-3-319-99495-6_32 fatcat:2kyyh7jyefetnkjt3trrh5ru5u

Two-Stage Fine-Grained Text-Level Sentiment Analysis Based on Syntactic Rule Matching and Deep Semantic

Weizhi LIAO, Yaheng MA, Yiling CAO, Guanglei YE, Dongzhou ZUO
2021 IEICE transactions on information and systems  
The second stage based on deep semantic network to extract more accurate objects and opinions.  ...  In the first stage, the objects and its corresponding opinions are extracted based on syntactic rules matching to obtain preliminary objects and opinions.  ...  [19] proposed an end-to-end deep learning model that jointly extracts attributes and opinion words.  ... 
doi:10.1587/transinf.2020bdp0018 fatcat:4jpxrd7xuza3rkmub2fbmfrw54

Sentiment analysis using deep learning approaches: an overview

Olivier Habimana, Yuhua Li, Ruixuan Li, Xiwu Gu, Ge Yu
2019 Science China Information Sciences  
Keywords sentiment analysis, opinion mining, deep learning, neural network, natural language processing (NLP), social network Citation Habimana O, Li Y H, Li R X, et al.  ...  Machine learning approaches are other traditional methods for sentiment analysis that are based on the machine learning algorithms to classify the words into their corresponding sentiment labels.  ...  This task involves the extraction of aspects/targets in opinionated text and it acts as the prerequisite of ABSA and opinion summarization.  ... 
doi:10.1007/s11432-018-9941-6 fatcat:nbevrfiyybhszirol2af26c6ve

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis [article]

Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2022 arXiv   pre-print
First, KGAN learns the contextual and syntactic representations in parallel to fully extract the semantic features.  ...  To this end, we propose a knowledge graph augmented network (KGAN), which aims to effectively incorporate external knowledge with explicitly syntactic and contextual information.  ...  networks (GCNs) to encode the syntactic information and syntactically connect the aspects with related opinion words [12] .  ... 
arXiv:2201.04831v1 fatcat:3ksibbglbzablmucuw22rjrlom

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis [article]

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao
2016 arXiv   pre-print
In aspect-based sentiment analysis, extracting aspect terms along with the opinions being expressed from user-generated content is one of the most important subtasks.  ...  In this paper, we propose a novel joint model that integrates recursive neural networks and conditional random fields into a unified framework for explicit aspect and opinion terms co-extraction.  ...  Alternatively, by incorporating dependency information into a deep learning model (e.g., RN-CRF), the result shows more than 7% improvement for aspect extraction and 2% for opinion extraction.  ... 
arXiv:1603.06679v3 fatcat:5zuuqo7jxzg5tbhmhdhfdfhaom

A Survey on Opinion Mining: from Stance to Product Aspect

Rui Wang, Deyu Zhou, Mingmin Jiang, Jiasheng Si, Yang Yang
2019 IEEE Access  
This survey focuses on two important subtasks in this field, stance detection and product aspect mining, both of which can be formalized as the problem of the triple target, aspect, opinion extraction.  ...  After that, approaches for product aspect mining are categorized into three main groups which are corpus level aspect extraction, corpus level aspect, and opinion mining, and document level aspect and  ...  To incorporate the syntactic structure information into extraction system, Zhao [53] employs a tree kernel based approach to capture the relations between aspect and opinion words which helps to obtain  ... 
doi:10.1109/access.2019.2906754 fatcat:5scny4gacvdivatd7m2lpky6ri
« Previous Showing results 1 — 15 out of 6,930 results