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A Case-Based Approach to Cross Domain Sentiment Classification [chapter]

Bruno Ohana, Sarah Jane Delany, Brendan Tierney
2012 Lecture Notes in Computer Science  
Motivated by the more general applicability of such methods, we propose an extensible approach to sentiment classification that leverages sentiment lexicons and out-of-domain data to build a case-based  ...  The case-based nature of our approach also allows for future improvements since new lexicons and classification methods can be added to the case base as they become available.  ...  In this study we propose a case-based approach to document sentiment classification where out-of-domain labelled data is reused to make predictions on unseen documents as follows: a case base is built  ... 
doi:10.1007/978-3-642-32986-9_22 fatcat:625he6lmajcgbndvwifjld44zm

Cross Domain Sentiment Classification Techniques: A Review

Parvati Kadli, Vidyavathi B.
2019 International Journal of Computer Applications  
The aim of the review is to present an overview of techniques and approaches, datasets used to solve cross domain sentiment classification problem in the research work carried out in the recent years.  ...  Hence continuous efforts are made to tackle the issue and many techniques have been designed to improve cross domain sentiment analysis.  ...  This is Cross Domain Sentiment Analysis. This study aims to present recent works on such cross-domain sentiment classification.  ... 
doi:10.5120/ijca2019918338 fatcat:uubvhfmyg5bmrdjioqis72zlhi

Meaning Matters: Senses of Words are More Informative than Words for Cross-domain Sentiment Analysis

Raksha Sharma, Sudha Bhingardive, Pushpak Bhattacharyya
2016 International Conference on Natural Language Processing  
Due to these differences across domains, cross-domain sentiment analysis suffers from negative transfer.  ...  In addition, a word which is used very scarcely in the source domain may have high impact in the target domain for sentiment classification.  ...  In case of sense-based cross-domain SA, a set of unique synset-IDs (senses) form a set of features.  ... 
dblp:conf/icon-nlp/SharmaBB16 fatcat:j2xydxelijhn3a7zqytelnbdku

Aspect-Based Sentiment Analysis of Drug Reviews Applying Cross-Domain and Cross-Data Learning

Felix Gräßer, Surya Kallumadi, Hagen Malberg, Sebastian Zaunseder
2018 Proceedings of the 2018 International Conference on Digital Health - DH '18  
In this work we show that transfer learning approaches can be used to exploit similarities across domains and is a promising approach for cross-domain sentiment analysis.  ...  To meet the challenge of lacking annotated data we further investigate the transferability of trained classification models among domains, i.e. conditions, and data sources.  ...  Many approaches to sentiment analysis are based on sentiment lexicons.  ... 
doi:10.1145/3194658.3194677 dblp:conf/ehealth/GrasserKMZ18 fatcat:je3hly67k5a6rhj3h6jewppz2u

A POS-based Ensemble Model for Cross-domain Sentiment Classification

Rui Xia, Chengqing Zong
2011 International Joint Conference on Natural Language Processing  
In this paper, we focus on the tasks of cross-domain sentiment classification.  ...  Based on this finding, we proposed a POS-based ensemble model to efficiently integrate features with different types of POS tags to improve the classification performance.  ...  Related Work Domain Adaptation Existing approaches for cross-domain sentiment classification mostly belong to the feature-based transfer.  ... 
dblp:conf/ijcnlp/XiaZ11 fatcat:3jdg47762jdb5pqwokmhevs4de

User-guided Cross-domain Sentiment Classification [chapter]

Arun Reddy Nelakurthi, Hanghang Tong, Ross Maciejewski, Nadya Bliss, Jingrui He
2017 Proceedings of the 2017 SIAM International Conference on Data Mining  
To this end, we propose a new graph-based approach named U-Cross, which models the relatedness of different domains via both the shared users and keywords.  ...  For sentiment analysis, a common practice is to assume similar sentiment polarity for the common keywords shared by different domains.  ...  In this paper, we propose a new graph based transfer learning approach: User-guided Cross-domain sentiment classification (U-Cross).  ... 
doi:10.1137/1.9781611974973.53 dblp:conf/sdm/NelakurthiTMBH17 fatcat:4i6cl56xu5atbpe2nv5y5thyny

Summarizing User Opinions: A Method for Labeled-data Scarce Product Domains

Neethu Kurian, Shimmi Asokan
2015 Procedia Computer Science  
We solve the problems of existing methods by using cross-domain sentiment classification coupled with distributional similarity of opinion words to classify and summarize product reviews.  ...  Experimental analysis shows that using cross-domain sentiment classification for opinion summarization gives encouraging results.  ...  A good number of approaches to cross-domain sentiment classification are based on sentiment transfer across source and target domains.  ... 
doi:10.1016/j.procs.2015.01.062 fatcat:3wx6rscgqrfqxcsnp6pyxems5u

Data intensive review mining for sentiment classification across heterogeneous domains

Federica Bisio, Paolo Gastaldo, Chiara Peretti, Rodolfo Zunino, Erik Cambria
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
To attain an objective measurement of the actual accuracy of the sentiment classification method, a campaign of tests involved a pair of complex, real-world scoring domains; the goal was to compare the  ...  Experimental results confirmed that the overall approach attained satisfactory performances in terms of both cross-domain classification accuracy and computational efficiency.  ...  The presentation of experimental results proves the approach effectiveness, and some conclusions are eventually drawn. II. A FRAMEWORK FOR CROSS-DOMAIN SENTIMENT CLASSIFICATION A.  ... 
doi:10.1145/2492517.2500280 dblp:conf/asunam/BisioGPZC13 fatcat:qbcm2djmkva2bhg3j4hhslzwwm

Cross-lingual polarity detection with machine translation

Erkin Demirtas, Mykola Pechenizkiy
2013 Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining - WISDOM '13  
the same domain, but not due to cross-language co-training itself.  ...  We focus on improving classification accuracy in a crosslingual setting where we have available labeled training instances about particular domain in different languages.  ...  This indicates that existing approaches applicable to cross-domain sentiment classification, e.g.  ... 
doi:10.1145/2502069.2502078 dblp:conf/kdd/DemirtasP13 fatcat:25vwiunjcvhyfdlhoicke6x4q4

Words alignment based on association rules for cross-domain sentiment classification

Xi-bin Jia, Ya Jin, Ning Li, Xing Su, Barry Cardiff, Bir Bhanu
2018 Frontiers of Information Technology & Electronic Engineering  
In this paper, we propose a novel approach called words alignment based on association rules (WAAR) for cross-domain sentiment classification, which can establish an indirect mapping relationship between  ...  Experimental results on Amazon R datasets show the effectiveness of our approach on improving the performance of cross-domain sentiment classification.  ...  novel approach to align domain-specific words in different domains for cross-domain sentiment classification, which is called words alignment based on association rules (WAAR).  ... 
doi:10.1631/fitee.1601679 fatcat:ssbrxauq7jfsbppndbizhkqz4q

Evaluating the Impact of Bilingual Lexical Resources on Cross-lingual Sentiment Projection in the Pharmaceutical Domain

Matthias Hartung, Matthias Orlikowski, Susana Veríssimo
2020 Zenodo  
In recent work, it has been shown that cross-lingual projection of sentiment models in deep learning frameworks based on bilingual sentiment embeddings (BLSE) is feasible without any annotated data in  ...  We use their framework and apply it to multilingual text analytics problems in the pharmaceutical domain in order to (i) investigate under which conditions the BLSE approach scales to technical domains  ...  Acknowledgements For this work we have received funding from the H2020 project Prêt-à-LLOD under Grant Agreement number 825182. Bibliographical References  ... 
doi:10.5281/zenodo.3707940 fatcat:uttn5gyzjvhxnjruinlb6hm7vm

Generating and mixing feature sets from language models for sentiment classification

Yoonjae Jeong, Youngho Kim, Seongchan Kim, Sung-Hyon Myaeng, Hyo-Jung Oh
2009 2009 International Conference on Natural Language Processing and Knowledge Engineering  
The classification results are further improved by applying a clue-based classifier.  ...  approach with 162 different LMs based on syntactic categories that are effectively combined with a Logistic Regression classifier.  ...  We first implemented a clue-based SVM classifier to mimic the well-received approach for sentiment classification of English text classification.  ... 
doi:10.1109/nlpke.2009.5313746 dblp:conf/nlpke/JeongKKMO09 fatcat:fzajrft5k5gwbi44pdubjmxnqu

Sentiment Domain Adaptation with Multiple Sources

Fangzhao Wu, Yongfeng Huang
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Experimental results on benchmark dataset show the effectiveness of our approach in improving cross-domain sentiment classification performance.  ...  In this paper, we propose a new domain adaptation approach which can exploit sentiment knowledge from multiple source domains.  ...  In this paper we propose a new domain adaptation approach for cross-domain sentiment classification.  ... 
doi:10.18653/v1/p16-1029 dblp:conf/acl/WuH16 fatcat:pvp3dtw7fjby5arqbde7ktntby

The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis

Kashyap Popat, Balamurali A. R., Pushpak Bhattacharyya, Gholamreza Haffari
2013 Annual Meeting of the Association for Computational Linguistics  
Expensive feature engineering based on WordNet senses has been shown to be useful for document level sentiment classification.  ...  Experiments show that cluster based data sparsity reduction leads to performance better than sense based classification for sentiment analysis at document level.  ...  In situations where labeled data is not present in a language, approaches based on cross-lingual sentiment analysis are used.  ... 
dblp:conf/acl/PopatRBH13 fatcat:5dedjey5evhb3fem2lr6jjqkke

Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification

Raksha Sharma, Pushpak Bhattacharyya, Sandipan Dandapat, Himanshu Sharad Bhatt
2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
We present a novel approach based on χ 2 test and cosine-similarity between context vector of words to identify polarity preserving significant words across domains.  ...  Cross-domain sentiment analysis has emerged as a demanding concept where a labeled source domain facilitates a sentiment classifier for an unlabeled target domain.  ...  Approach: Cross-domain Sentiment Classification The proposed approach identifies words which are equally significant for sentiment classification with a consistent polarity across source and target domains  ... 
doi:10.18653/v1/p18-1089 dblp:conf/acl/BhattacharyyaDS18 fatcat:hpwymndgcnagvnjkd4etyikrge
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