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Extracting Aspect Specific Opinion Expressions

Abhishek Laddha, Arjun Mukherjee
2016 Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing  
However, in opinion mining, it is often desirable to mine the aspect specific opinion expressions (or aspectsentiment phrases) containing both the aspect and the opinion.  ...  Opinionated expression extraction is a central problem in fine-grained sentiment analysis. Most existing works focus on either generic subjective expression or aspect expression extraction.  ...  They can also be applied to the various tasks such as sentiment classification, comparative aspect evaluations, aspect rating prediction, etc.  ... 
doi:10.18653/v1/d16-1060 dblp:conf/emnlp/LaddhaM16 fatcat:hbfzta6kindvtb7co46so65are

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  
For each discussed study, aspect extraction method and sentiment prediction method, the dataset, domain and the reported performance is included.  ...  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.  ...  The basic task in ABSA is to extract and summarize opinions that people express on entities and aspects of those entities. A book chapter of Liu (2012) is on ABSA specifically.  ... 
doi:10.17576/apjitm-2019-0801-07 fatcat:2gir4dae2rgp5kzx6njx5zvvla

A Semantic Conceptualization using Tagged Bag-of-Concepts for Sentiment Analysis

Yassin S. Mehanna, M. Mahmuddin
2021 IEEE Access  
Sentiment could be expressed implicitly or explicitly in the text.  ...  TBoC method with domain-specific sentiment lexicon showed exceptional performance and outperformed other state-of-the-art NB, SVM, and NN methods, especially for aspect-level SA.  ...  Ma et al. introduced another hybrid approach combining unsupervised LDA and lexicon-based approaches for aspect extraction from reviews.  ... 
doi:10.1109/access.2021.3107237 fatcat:2kjmloselvgn5mmrfgt4xifjf4

Beyond linear chain

Diego Marcheggiani
2014 SIGIR Forum  
In this thesis we investigate two major aspects related to information extraction from text via CRFs: the creation of CRFs models that outperform the commonly adopted, state-of-the-art, "linear-chain"  ...  We exemplify this approach on two different tasks, i.e., IE from medical documents and opinion mining from product reviews.  ...  Opinion prediction: for each segment and each applicable (true positive) aspect for the segment, predict the opinion expressed towards the aspect in the segment.  ... 
doi:10.1145/2641383.2641394 fatcat:kh5rurby45fi7cl6uhav2e3bqy

A Comprehensive Overview of Recommender System and Sentiment Analysis [article]

Sumaia Mohammed AL-Ghuribi, Shahrul Azman Mohd Noah
2021 arXiv   pre-print
Most of the conventional recommender systems rely on the numeric rating given by a user to reflect his opinion about a consumed item; however, these ratings are not available in many domains.  ...  Then, it discusses the sentiment analysis concept and highlights the main points in the sentiment analysis, including level, approaches, and focuses on aspect-based sentiment analysis.  ...  It uses a hybrid method to estimate the sentiment score via the probability method and the information theory method.  ... 
arXiv:2109.08794v1 fatcat:qzp73hak2navvfdvykk6n2ihbe

Aspect and Entity Extraction for Opinion Mining [chapter]

Lei Zhang, Bing Liu
2014 Studies in Big Data  
An opinion can be expressed on any node and any attribute of the node.  ...  Aspect extraction and entity extraction are thus two core tasks of aspect-based opinion mining.  ...  Zhao et al. (2010) proposed a MaxEnt-LDA hybrid model to jointly discover both aspect words and aspect-specific opinion words, which can leverage syntactic features to help separate aspects and opinion  ... 
doi:10.1007/978-3-642-40837-3_1 fatcat:wp3wgs32nzdlrjc7d4gm7wskja

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

Wenya Wang, Sinno Jialin Pan
2019 Computational Linguistics  
In fine-grained opinion mining, extracting aspect terms (a.k.a. opinion targets) and opinion terms (a.k.a. opinion expressions) from user-generated texts is the most fundamental task in order to generate  ...  Existing studies have shown that the syntactic relations between aspect and opinion words play an important role for aspect and opinion terms extraction.  ...  Acknowledgments This work was supported by NTU Singapore Nanyang Assistant Professorship (NAP) grant M4081532.020, Singapore MOE AcRF Tier-2 grant MOE2016-T2-2-060, and a Singapore Lee Kuan Yew Postdoctoral  ... 
doi:10.1162/coli_a_00362 fatcat:topw3vnee5ao7aevhc6sd7axdq

A Survey on Opinion Reason Mining and Interpreting Sentiment Variations

Fuad Alattar, Khaled Shaalan
2021 IEEE Access  
This paper attempts to explore main approaches to Opinion Reason Mining, with focus on Interpreting Sentiment Variations.  ...  To identify these gaps, a real-life Twitter dataset is analyzed, and key hypothesis for interpreting public sentiment variations are examined.  ...  Finally, they used LDA Topic Model to group fine-grained aspects into more expressive high-level aspects.  ... 
doi:10.1109/access.2021.3063921 fatcat:i32uuh5dnngy3bsmiuqk26tvim

Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation [article]

Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger
2019 arXiv   pre-print
An end-to-end framework is then developed to integrate the embedded representations and BiLSTM plus CRF to learn both tree-structured and sequential features to solve the aspect term extraction problem  ...  Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis. Previous studies have shown that using dependency tree structure representation is promising for this task.  ...  Introduction Aspect term extraction (ATE) is the task of extracting the attributes (or aspects) of an entity upon which people have expressed opinions.  ... 
arXiv:1805.07889v2 fatcat:rety47zvlbe63pwspn22udylei

Systematic Review on Implicit and Explicit Aspect Extraction in Sentiment Analysis

Jaafar Zubairu Maitama, Norisma Idris, Asad Abdi, Liyana Shuib, Rosmadi Fauzi
2020 IEEE Access  
In another effort to minimize the effect of weak semantic vector representation for SA in paragraph, sentences and phrases, [52] used CRF for the extraction of opinion target expressions.  ...  An aspect is said to be frequent when most of the users are interested in expressing their opinions about it.  ...  He also has been involved in Antarctic research and GIS and was one of the first 50 Malays who involved in the scientific expedition to the Antarctic.  ... 
doi:10.1109/access.2020.3031217 fatcat:vosmjncbe5h6lfaoucmjy2yxq4

Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models

Thaer Thaher, Mahmoud Saheb, Hamza Turabieh, Hamouda Chantar
2021 Symmetry  
Twitter is one of the most widely used social media platforms, especially in the Arab region, where the number of users is steadily increasing, accompanied by an increase in the rate of fake news.  ...  Eight well-known learning algorithms are investigated with varying combinations of features, including user-profile, content-based, and words-features.  ...  The opinion holder is an organization or person that expresses an opinion towards an object at a particular moment [4] .  ... 
doi:10.3390/sym13040556 fatcat:mkwh6wh335hxdmqnr6cocec4xy

Sentiment Analysis and Opinion Mining [chapter]

Lei Zhang, Bing Liu
2017 Encyclopedia of Machine Learning and Data Mining  
., 2010) proposed the MaxEnt-LDA (a Maximum Entropy and LDA combination) hybrid model to jointly discover both aspect words and aspectspecific opinion words, which can leverage syntactic features to help  ...  Li et al (2010) integrated two CRF variations, i.e., Skip-CRF and Tree-CRF, to extract aspects and also opinions.  ... 
doi:10.1007/978-1-4899-7687-1_907 fatcat:iy5ty44cyzbrtodxfo7osy3iu4

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis [chapter]

Erik Cambria, Soujanya Poria, Federica Bisio, Rajiv Bajpai, Iti Chaturvedi
2015 Lecture Notes in Computer Science  
tasks necessary for extracting opinionated information from text, namely: microtext analysis, semantic parsing, subjectivity detection, anaphora resolution, sarcasm detection, topic spotting, aspect extraction  ...  But when it comes to interpreting sentences and extracting opinionated information, their capabilities are known to be very limited.  ...  phrases [10] , the rating of multi-aspects [106] and the summarization of aspects and sentiments [61]  ... 
doi:10.1007/978-3-319-18117-2_1 fatcat:zlu3xwbijjcbxhq3tngtxqljz4

Large-Margin Predictive Latent Subspace Learning for Multiview Data Analysis

Ning Chen, Jun Zhu, Fuchun Sun, E. P. Xing
2012 IEEE Transactions on Pattern Analysis and Machine Intelligence  
Our results demonstrate that the large-margin approach can achieve significant improvements in terms of prediction performance and discovering predictive latent subspace representations.  ...  To learn the latent subspace MN, we develop a large-margin approach which jointly maximizes data likelihood and minimizes a prediction loss on training data.  ...  ., 12,000-dim bag-of-word features and 14-dim contextual features [50] ) as well as a global rating score and five aspect rating scores. The global ratings rank from 1 to 5.  ... 
doi:10.1109/tpami.2012.64 pmid:22392706 fatcat:4vizascr4jddxjnr443sncjn7e

Artificial Intelligence, Social Media and Supply Chain Management: The Way Forward

Apalak Khatua, Aparup Khatua, Xu Chi, Erik Cambria
2021 Electronics  
These stakeholders frequently use social media platforms, such as Twitter and Facebook, to voice their opinions and concerns.  ...  We present a conceptual overview of prevalent techniques and available resources for information extraction.  ...  Latent Dirichlet Allocation (LDA) is a standard method in topic modeling. LDA defines the following generative process.  ... 
doi:10.3390/electronics10192348 fatcat:vreqwfljebcudgl3drik7fn57a
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