identifier;author;title;journal;year;group-short;group-long;country Haddoud2016;"Mounia Haddoud and A{\""{\i}}cha Mokhtari and Thierry Lecroq and Sa{\""{\i}}d Abdedda{\""{\i}}m";Combining supervised term-weighting metrics for SVM;Knowledge and Information Systems;2016;feature-weight;feature-weight;Algeria, Algeria, France, France Alalga2016;Abdelouahid Alalga and Khalid Benabdeslem and Nora Taleb;Soft-constrained Laplacian score for semi-supervised multi-label feature selection;Knowledge and Information Systems;2016;feature-selection;feature-selection;Algeria, France, Algeria Tommasel2016;Tommasel, Antonela and Godoy, Daniela;Short-text feature construction and selection in social media data: a survey;Artificial Intelligence Review;2016;feature-construction;feature-construction;Argentina, Argentina Kang2016;Yong{-}Bin Kang and Pari Delir Haghighi and Frada Burstein;TaxoFinder: {A} Graph-Based Approach for Taxonomy Learning;IEEE Transactions on Knowledge and Data Engineering;2016;feature-construction;feature-construction;Australia, Australia, Australia Xu2013;Xu, Chang and Tao, Dacheng and Xu, Chao;A survey on multi-view learning;arXiv preprint arXiv:1304.5634;2013;learning-multiview;learning-multiview;Australia, Australia, China Pang2015;Pang, Guansong and Jin, Huidong and Jiang, Shengyi;CenKNN: a scalable and effective text classifier;Data \& Knowledge Engineering;2015;classification-system-and-application-areas;classification-system-and-application-areas;Australia, Australia, China Ting99issuesin;Kai Ming Ting and Ian H. Witten;Issues in Stacked Generalization;Journal of Artificial Intelligence Research;1999;learning-ensamble;learning-ensamble;Australia, New Zealand Chang2016;Chang, Xiaojun and Nie, Feiping and Yang, Yi and Zhang, Chengqi and Huang, Heng;Convex sparse PCA for unsupervised feature learning;ACM Transactions on Knowledge Discovery from Data;2016;feature-projection;feature-projection;Australia, United States, Australia, Australia, United States Karystianis2017;Karystianis, George and Thayer, Kristina and Wolfe, Mary and Tsafnat, Guy;Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews;Journal of biomedical informatics;2017;classification-system-and-application-areas;classification-system-and-application-areas;Australia, United States, United States, Australia Gomez2012;Gomez, Juan Carlos and Moens, Marie-Francine;PCA document reconstruction for email classification;Computational Statistics \& Data Analysis;2012;feature-projection;feature-projection;Belgium, Belgium Magerman2010;Tom Magerman and Bart Van Looy and Xiaoyan Song;Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications;Scientometrics;2010;feature-projection;feature-projection;Belgium, Belgium, Belgium JunquedeFortuny2014426;Enric Junqué de Fortuny and Tom De Smedt and David Martens and Walter Daelemans;Evaluating and understanding text-based stock price prediction models;Information Processing and Management;2014;classification-system-and-application-areas;classification-system-and-application-areas;Belgium, Belgium, Belgium, Belgium Ittoo2016;Ashwin Ittoo and Le Minh Nguyen and Antal van den Bosch;Text analytics in industry: Challenges, desiderata and trends;Computers in Industry;2016;classification-system-and-application-areas;classification-system-and-application-areas;Belgium, Vietnam, The Netherlands Guzella2009;Guzella, Thiago S and Caminhas, Walmir M;A review of machine learning approaches to spam filtering;Expert Systems with Applications;2009;review-survey-overview-works;review-survey-overview-works;Brazil, Brazil Krohling:2015:RCE:2849965.2850195;Krohling, Renato A. and Lourenzutti, Rodolfo and Campos, Mauro;Ranking and Comparing Evolutionary Algorithms with Hellinger-TOPSIS;Applied Soft Computing;2015;evaluation-methods;evaluation-methods;Brazil, Brazil, Brazil Pinheiro2015;Roberto H. W. Pinheiro and George D. C. Cavalcanti and Tsang Ing Ren;Data-driven global-ranking local feature selection methods for text categorization;Expert Systems with Applications;2015;feature-selection;feature-selection;Brazil, Brazil, Brazil Parmezan2017;Antonio Rafael Sabino Parmezan and Huei Diana Lee and Feng Chung Wu;Metalearning for choosing feature selection algorithms in data mining: Proposal of a new framework;Expert Systems with Applications;2017;feature-selection;feature-selection;Brazil, Brazil, Brazil Pinheiro2017;Pinheiro, Roberto HW and Cavalcanti, George DC and Tsang, Ren;Combining dissimilarity spaces for text categorization;Information Sciences;2017;learning-multiview;learning-multiview;Brazil, Brazil, Brazil Pi2016;Nayat S{\'{a}}nchez Pi and Luis Mart{\'{\i}} and Ana Cristina Bicharra Garcia;Improving ontology-based text classification: An occupational health and security application;Journal of Applied Logic;2016;feature-construction;feature-construction;Brazil, Brazil, Brazil Silva2017;Silva, Renato M and Almeida, Tiago A and Yamakami, Akebo;MDLText: An efficient and lightweight text classifier;Knowledge-Based Systems;2017;classification-system-and-application-areas;classification-system-and-application-areas;Brazil, Brazil, Brazil Rossi2017;Rossi, Rafael Geraldeli and de Andrade Lopes, Alneu and Rezende, Solange Oliveira;Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization;Knowledge-Based Systems;2017;learning-semi-suppervised;learning-semi-suppervised;Brazil, Brazil, Brazil Matsubara2005;Edson Takashi Matsubara and Maria Carolina Monard and Gustavo E. A. P. A. Batista;Multi-view Semi-supervised Learning: An Approach to Obtain Different Views from Text Datasets;Selected Papers of LAPTEC;2005;learning-multiview;learning-multiview;Brazil, Brazil, Brazil Pereira2016;Pereira, Rafael B. and Plastino, Alexandre and Zadrozny, Bianca and Merschmann, Luiz H. C.;Categorizing feature selection methods for multi-label classification;Artificial Intelligence Review;2016;feature-selection;feature-selection;Brazil, Brazil, Brazil, Brazil Pinheiro2012;Roberto H. W. Pinheiro and George D. C. Cavalcanti and Renato F. Correa and Tsang Ing Ren;A global-ranking local feature selection method for text categorization;Expert Systems with Applications;2012;feature-selection;feature-selection;Brazil, Brazil, Brazil, Brazil Castro2017;Dayvid Castro and Ellen Souza and Douglas Vit{\'{o}}rio and Diego Santos and Adriano L. I. Oliveira;Smoothed n-gram based models for tweet language identification: {A} case study of the Brazilian and European Portuguese national varieties;Applied Soft Computing;2017;classification-system-and-application-areas;classification-system-and-application-areas-language-identification;Brazil, Brazil, Brazil, Brazil, Brazil Figueiredo2011;F{\'{a}}bio Figueiredo and Leonardo C. da Rocha and Thierson Couto and Thiago Salles and Marcos Andr{\'{e}} Gon{\c{c}}alves and Wagner Meira Jr.;Word co-occurrence features for text classification;Information Sciences;2011;feature-construction;feature-construction;Brazil, Brazil, Brazil, Brazil, Brazil, Brazil Almeida2016;Almeida, Tiago A and Silva, Tiago P and Santos, Igor and Hidalgo, Jos\'e;Text normalization and semantic indexing to enhance Instant Messaging and SMS spam filtering;Knowledge-Based Systems;2016;classification-system-and-application-areas;classification-system-and-application-areas;Brazil, Brazil, Spain, Spain Lochter2016;Lochter, Johannes V and Zanetti, Rafael F and Reller, Dominik and Almeida, Tiago A;Short text opinion detection using ensemble of classifiers and semantic indexing;Expert Systems with Applications;2016;learning-ensamble;learning-ensamble;Brazil, United States, Brazil, Brazil Kamkarhaghighi2017;Kamkarhaghighi, Mehran and Makrehchi, Masoud;Content Tree Word Embedding for document representation;Expert Systems with Applications;2017;feature-construction;feature-construction;Canada, Canada Sokolova2009427;Marina Sokolova and Guy Lapalme;A systematic analysis of performance measures for classification tasks;Information Processing and Management;2009;evaluation-methods;evaluation-methods;Canada, Canada Cruz2018;Cruz, Rafael MO and Sabourin, Robert and Cavalcanti, George DC;Dynamic classifier selection: Recent advances and perspectives;Information Fusion;2018;learning-multiview;learning-multiview;Canada, Canada, Brazil Armanfard2016;Narges Armanfard and James P. Reilly and Majid Komeili;Local Feature Selection for Data Classification;IEEE Transactions on Pattern Analysis and Machine Intelligence;2016;feature-selection;feature-selection;Canada, Canada, Canada Li2012;Cheng Hua Li and Ju Cheng Yang and Soon Cheol Park;Text categorization algorithms using semantic approaches, corpus-based thesaurus and WordNet;Expert Systems with Applications;2012;feature-construction;feature-construction;Canada, China, Republic of Korea Cuzzola2015;Cuzzola, John and Jovanovi{\'c}, Jelena and Bagheri, Ebrahim and Ga{\v{s}}evi{\'c}, Dragan;Automated classification and localization of daily deal content from the Web;Applied Soft Computing;2015;classification-system-and-application-areas;classification-system-and-application-areas;Canada, Serbia, Canada, United Kingdom Yu2016;Kui Yu and Xindong Wu and Wei Ding and Jian Pei;Scalable and Accurate Online Feature Selection for Big Data;ACM Transactions on Knowledge Discovery from Data;2016;feature-selection;feature-selection;Canada, United States, United States, Canada Vergara2014;Jorge R. Vergara and Pablo A. Est{\'{e}}vez;A review of feature selection methods based on mutual information;Neural Computing and Applications;2014;feature-selection;feature-selection;Chile, Chile Nanculef2014;Nanculef, Ricardo and Flaounas, Ilias and Cristianini, Nello;Efficient classification of multi-labeled text streams by clashing;Expert Systems with Applications;2014;classification-system-and-application-areas;classification-system-and-application-areas-text-data-streams;Chile, Chile, United Kingdom Sun2013;Sun, Shiliang;A survey of multi-view machine learning;Neural Computing and Applications;2013;learning-multiview;learning-multiview;China Pang2013;Guansong Pang and Shengyi Jiang;A generalized cluster centroid based classifier for text categorization;Information Processing and Management;2013;classification-system-and-application-areas;classification-system-and-application-areas;China, China Chang20091036;Matthew Chang and Chung Keung Poon;Using phrases as features in email classification;Journal of Systems and Software;2009;feature-construction;feature-construction, classification-system-and-application-areas;China, China Zhang2016a;Heng Zhang and Guoqiang Zhong;Improving short text classification by learning vector representations of both words and hidden topics;Knowledge-Based Systems;2016;feature-construction;feature-construction;China, China Yin2016;Yin, Chunyong and Xi, Jinwen;Maximum entropy model for mobile text classification in cloud computing using improved information gain algorithm;Multimedia Tools and Applications;2016;classification-system-and-application-areas;classification-system-and-application-areas;China, China Wang2009a;Wei Wang and Bo Yu;Text categorization based on combination of modified back propagation neural network and latent semantic analysis;Neural Computing and Applications;2009;feature-projection;feature-projection;China, China Yang2011;Yang, Baoguo and Zhang, Yang and Li, Xue;Classifying text streams by keywords using classifier ensemble;Data \& Knowledge Engineering;2011;classification-system-and-application-areas;classification-system-and-application-areas-text-data-streams;China, China, Australia Xiao2017;Yanshan Xiao and Bo Liu and Jie Yin and Zhifeng Hao;A multiple-instance stream learning framework for adaptive document categorization;Knowledge-Based Systems;2017;learning-multiple-instance;learning-multiple-instance;China, China, Australia, China Qin2016;Qin, Zengchang and Cong, Yonghui and Wan, Tao;Topic modeling of Chinese language beyond a bag-of-words;Computer Speech \& Language;2016;feature-construction;feature-construction;China, China, China Gu2009;Gu, Ping and Zhu, QingSheng and Zhang, Cheng;A multi-view approach to semi-supervised document classification with incremental Naive Bayes;Computers \& Mathematics with Applications;2009;learning-multiview;learning-multiview;China, China, China Meng2011;Jiana Meng and Hongfei Lin and Yuhai Yu;A two-stage feature selection method for text categorization;Computers \& Mathematics with Applications;2011;feature-selection;feature-selection;China, China, China Liu2017;Liu, Yang and Bi, Jian-Wu and Fan, Zhi-Ping;Multi-class sentiment classification: The experimental comparisons of feature selection and machine learning algorithms;Expert Systems with Applications;2017;feature-selection;feature-selection;China, China, China Sun2017;Sun, Shiliang and Luo, Chen and Chen, Junyu;A review of natural language processing techniques for opinion mining systems;Information Fusion;2017;classification-system-and-application-areas;classification-system-and-application-areas-sentiment-analysis;China, China, China Xia2011;Xia, Rui and Zong, Chengqing and Li, Shoushan;Ensemble of feature sets and classification algorithms for sentiment classification;Information Sciences;2011;classification-system-and-application-areas;classification-system-and-application-areas;China, China, China Zuo2016;Zuo, Yuan and Zhao, Jichang and Xu, Ke;Word network topic model: a simple but 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Fusion;2017;learning-multiview;learning-multiview;China, China, China, China Gui2012;Gui, Yaocheng and Gao, Zhiqiang and Li, Renyong and Yang, Xin;Hierarchical text classification for news articles based-on named entities;International Conference on Advanced Data Mining and Applications;2012;feature-construction;feature-construction;China, China, China, China Kou2012;Gang Kou and Yanqun Lu and Yi Peng and Yong Shi;Evaluation of Classification Algorithms Using MCDM;International Journal of Information Technology and Decision Making;2012;evaluation-methods;evaluation-methods;China, China, China, China Zhou2016;Guangyou Zhou and Zhiyuan Zhu and Tingting He and Xiaohua Tony Hu;Cross-lingual sentiment classification with stacked autoencoders;Knowledge and Information Systems;2016;classification-system-and-application-areas;classification-system-and-application-areas-cross-multi-lingual;China, China, China, China Zhang2016;Zhang, Lungan and Jiang, Liangxiao and Li, Chaoqun and Kong, 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Sciences;2017;feature-construction;feature-construction;China, China, China, China, China, China, China, Australia Shen2016;Shen, Liming and Chen, Huiling and Yu, Zhe and Kang, Wenchang and Zhang, Bingyu and Li, Huaizhong and Yang, Bo and Liu, Dayou;Evolving support vector machines using fruit fly optimization for medical data classification;Knowledge-Based Systems;2016;classification-system-and-application-areas;classification-system-and-application-areas;China, China, China, China, China, China, China, China Zhang2017;Zhang, Yuhong and Chu, Guang and Li, Peipei and Hu, Xuegang and Wu, Xindong;Three-layer concept drifting detection in text data streams;Neurocomputing;2017;classification-system-and-application-areas;classification-system-and-application-areas-text-data-streams;China, China, China, China, United States Guan2013;Hu Guan and Jingyu Zhou and Bin Xiao and Minyi Guo and Tao Yang;Fast dimension reduction for document classification based on imprecise spectrum 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K. Liu and Yu{-}Lin He and Edward H. Y. Lim and Xizhao Wang;Domain ontology graph model and its application in Chinese text classification;Neural Computing and Applications;2014;feature-construction;feature-construction;Hong Kong, China, Hong Kong, China Tan2014;Ben Tan and Erheng Zhong and Evan Wei Xiang and Qiang Yang;Multi-transfer: Transfer learning with multiple views and multiple sources;Statistical Analysis and Data Mining;2014;learning-transfer;learning-transfer;Hong Kong, Hong Kong, Hong Kong, Hong Kong Li2014;Xiaodong Li and Haoran Xie and Li Chen and Jianping Wang and Xiaotie Deng;News impact on stock price return via sentiment analysis;Knowledge-Based Systems;2014;classification-system-and-application-areas;classification-system-and-application-areas;Hong Kong, Hong Kong, Hong Kong, Hong Kong, China Saha2013;Sriparna Saha and Asif Ekbal;Combining multiple classifiers using vote based classifier ensemble technique for named entity recognition;Data \& Knowledge Engineering;2013;feature-construction;feature-construction;India, India Vinodhini2016;Vinodhini, G and Chandrasekaran, RM;A comparative performance evaluation of neural network based approach for sentiment classification of online reviews;Journal of King Saud University-Computer and Information Sciences;2016;classification-system-and-application-areas;classification-system-and-application-areas;India, India Ravi2017;Ravi, Kumar and Ravi, Vadlamani;A novel automatic satire and irony detection using ensembled feature selection and data mining;Knowledge-Based Systems;2017;feature-selection;feature-selection;India, India Kumar2016128;B. Shravan Kumar and Vadlamani Ravi;A survey of the applications of text mining in financial domain;Knowledge-Based Systems;2016;classification-system-and-application-areas;classification-system-and-application-areas;India, India Bhushan2017;Bhushan, SN Bharath and Danti, Ajit;Classification of text documents based on score level fusion approach;Pattern Recognition Letters;2017;learning-multiview;learning-multiview;India, India Agnihotri2017;Agnihotri, Deepak and Verma, Kesari and Tripathi, Priyanka;Variable Global Feature Selection Scheme for automatic classification of text documents;Expert Systems with Applications;2017;feature-selection;feature-selection;India, India, India Tripathy2017;Abinash Tripathy and Abhishek Anand and Santanu Kumar Rath;Document-level sentiment classification using hybrid machine learning approach;Knowledge and Information Systems;2017;classification-system-and-application-areas;classification-system-and-application-areas-sentiment-analysis;India, India, India Manek2017;Manek, Asha S and Shenoy, P Deepa and Mohan, M Chandra and Venugopal, KR;Aspect term extraction for sentiment analysis in large movie reviews using Gini Index feature selection method and SVM classifier;World Wide Web;2017;feature-construction;feature-construction;India, India, India, India Labani2018;Labani, Mahdieh and Moradi, Parham and Ahmadizar, Fardin and Jalili, Mahdi;A novel multivariate filter method for feature selection in text classification problems;Engineering Applications of Artificial Intelligence;2018;feature-selection;feature-selection;Iran, Iran, Iran, Australia Sheikhpour2017;Razieh Sheikhpour and Mehdi Agha Sarram and Sajjad Gharaghani and Mohammad Ali Zare Chahooki;A Survey on semi-supervised feature selection methods;Pattern Recognition;2017;feature-selection;feature-selection;Iran, Iran, Iran, Iran Hu2016;Hu, Rong and Mac Namee, Brian and Delany, Sarah Jane;Active learning for text classification with reusability;Expert Systems with Applications;2016;learning-active;learning-active;Ireland, Ireland, Ireland Nunzio2014;Giorgio Maria Di Nunzio;"A new decision to take for cost-sensitive Na{\""{\i}}ve Bayes classifiers";Information Processing and Management;2014;;;Italy Cagliero2013;Luca Cagliero and Paolo Garza;Improving classification models with taxonomy information;Data \& Knowledge Engineering;2013;feature-construction;feature-construction;Italy, Italy Pillai2017;Pillai, Ignazio and Fumera, Giorgio and Roli, Fabio;Designing multi-label classifiers that maximize F measures: State of the art;Pattern Recognition;2017;learning-classification-multilabel;learning-classification-multilabel;Italy, Italy, Italy Baroni2014;Baroni, Marco and Dinu, Georgiana and Kruszewski, Germ{\'a}n;Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors;Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers);2014;feature-construction;feature-construction;Italy, Italy, Italy Ren2013;Fuji Ren and Mohammad Golam Sohrab;Class-indexing-based term weighting for automatic text classification;Information Sciences;2013;feature-weight;feature-weight;Japan, Japan Ogura2011;Hiroshi Ogura and Hiromi Amano and Masato Kondo;Comparison of metrics for feature selection in imbalanced text classification;Expert Systems with Applications;2011;feature-selection;feature-selection;Japan, Japan, Japan Jalilvand2017;Jalilvand, Abbas and Salim, Naomie;Feature unionization: A novel approach for dimension reduction;Applied Soft Computing;2017;feature-selection;feature-selection;Malaysia, Iran Hajmohammadi2014;Mohammad Sadegh Hajmohammadi and Roliana Ibrahim and Ali Selamat;Cross-lingual sentiment classification using multiple source languages in multi-view semi-supervised learning;Engineering Applications of Artificial Intelligence;2014;learning-multiview;learning-multiview;Malaysia, Malaysia, Malaysia Ghareb2016;Ghareb, Abdullah Saeed and Bakar, Azuraliza Abu and Hamdan, Abdul Razak;Hybrid feature selection based on enhanced genetic algorithm for text categorization;Expert Systems with Applications;2016;feature-selection;feature-selection;Malaysia, Malaysia, Malaysia Al-Salemi2016;Al-Salemi, Bassam and Noah, Shahrul Azman Mohd and Ab Aziz, Mohd Juzaiddin;RFBoost: an improved multi-label boosting algorithm and its application to text categorisation;Knowledge-Based Systems;2016;learning-classification-multilabel;learning-classification-multilabel;Malaysia, Malaysia, Malaysia Lee2012;Lee, Lam Hong and Isa, Dino and Choo, Wou Onn and Chue, Wen Yeen;High Relevance Keyword Extraction facility for Bayesian text classification on different domains of varying characteristic;Expert Systems with Applications;2012;feature-construction;feature-construction;Malaysia, Malaysia, Malaysia, Malaysia Saloot2016;Saloot, Mohammad Arshi and Idris, Norisma and Mahmud, Rohana and Jaafar, Salinah and Thorleuchter, Dirk and Gani, Abdullah;Hadith data mining and classification: a comparative analysis;Artificial Intelligence Review;2016;classification-system-and-application-areas;classification-system-and-application-areas;Malaysia, Malaysia, Malaysia, Malaysia, Germany, Malaysia Sabbah2016;Thabit Sabbah and Ali Selamat and Md. Hafiz Selamat and Roliana Ibrahim and Hamido Fujita;Hybridized term-weighting method for Dark Web classification;Neurocomputing;2016;classification-system-and-application-areas;classification-system-and-application-areas;Malaysia, Malaysia, Malaysia, Malaysia, Japan Sharef2015;Sharef, Nurfadhlina Mohd and Martin, Trevor;Evolving fuzzy grammar for crime texts categorization;Applied Soft Computing;2015;learning-interpretable-model;learning-interpretable-model;Malaysia, United Kingdom Escalante2015;Hugo Jair Escalante and Mauricio A. Garc{\'{\i}}a{-}Lim{\'{o}}n and Alicia Morales{-}Reyes and Mario Graff and Manuel Montes{-}y{-}G{\'{o}}mez and Eduardo F. Morales and Jos{\'{e}} Mart{\'{\i}}nez{-}Carranza;Term-weighting learning via genetic programming for text classification;Knowledge-Based Systems;2015;feature-weight;feature-weight;Mexico, Mexico, Mexico, Mexico, Mexico, Mexico, Mexico Olvera-Lopez2010;Jos{\'{e}} Arturo Olvera{-}L{\'{o}}pez and Jes{\'{u}}s Ariel Carrasco{-}Ochoa and Jos{\'{e}} Francisco Mart{\'{\i}}nez Trinidad and Josef Kittler;A review of instance selection methods;Artificial Intelligence Review;2010;instance-selection;instance-selection;Mexico, Mexico, Mexico, United Kingdom Ting97stackedgeneralization;Kai Ming Ting and Ian H. Witten;Proceedings International Joint Conference on Artificial Intelligence;Proceedings International Joint Conference on Artificial Intelligence;1997;learning-ensamble;learning-ensamble;New Zealand, New Zealand Foulds2010;Foulds, James and Frank, Eibe;A review of multi-instance learning assumptions;The Knowledge Engineering Review;2010;learning-multiple-instance;learning-multiple-instance;New Zealand, New Zealand Rehman2017;Rehman, Abdur and Javed, Kashif and Babri, Haroon A;Feature selection based on a normalized difference measure for text classification;Information Processing and Management;2017;feature-selection;feature-selection;Pakistan, Pakistan, Pakistan Sabbah2017;Sabbah, Thabit and Selamat, Ali and Selamat, Md Hafiz and Al-Anzi, Fawaz S and Viedma, Enrique Herrera and Krejcar, Ondrej and Fujita, Hamido;Modified frequency-based term weighting schemes for text classification;Applied Soft Computing;2017;feature-weight;feature-weight;Palestine, Malaysia, Malaysia, Kuwait, Spain, Czech Republic, Japan Wozniak2014;Wo{\'z}niak, Micha{\l} and Gra{\~n}a, Manuel and Corchado, Emilio;A survey of multiple classifier systems as hybrid systems;Information Fusion;2014;learning-multiview;learning-multiview;Poland, Spain, Spain Basto-Fernandes2016;Basto-Fernandes, Vitor and Yevseyeva, Iryna and M{\'e}ndez, Jos{\'e} R and Zhao, Jiaqi and Fdez-Riverola, Florentino and Emmerich, Michael TM;A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification;Applied Soft Computing;2016;classification-system-and-application-areas;classification-system-and-application-areas;Portugal, United Kingdom, Spain, China, Spain, The Netherlands Kim2016;Hyun Kyung Kim and Minyoung Kim;Model-induced term-weighting schemes for text classification;Applied Intelligence;2016;feature-weight;feature-weight;Republic of Korea, Republic of Korea Li2009a;Cheng Hua Li and Soon Cheol Park;An efficient document classification model using an improved 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Information and Knowledge Management;2005;classification-system-and-application-areas;classification-system-and-application-areas;Singapore, Singapore Chaturvedi2016;Iti Chaturvedi and Yew{-}Soon Ong and Ivor W. Tsang and Roy E. 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Troyano and Tom{\'{a}}s L{\'{o}}pez{-}Solaz;An approach to the use of word embeddings in an opinion classification task;Expert Systems with Applications;2016;feature-construction;feature-construction;Spain, Spain, Spain Garcia-Pablos2018;Garc{\'\i}a-Pablos, Aitor and Cuadros, Montse and Rigau, German;W2VLDA: Almost Unsupervised System for Aspect Based Sentiment Analysis;Expert Systems with Applications;2018;classification-system-and-application-areas;classification-system-and-application-areas-sentiment-analysis;Spain, Spain, Spain Garcia2017;Garc{\'\i}a, Marcos Antonio Mouri{\~n}o and Rodr{\'\i}guez, Roberto P{\'e}rez and Rif{\'o}n, Luis Anido;Wikipedia-based cross-language text classification;Information Sciences;2017;classification-system-and-application-areas;classification-system-and-application-areas-cross-multi-lingual;Spain, Spain, Spain Ibanez2014;Alfonso Ib{\'{a}}{\~{n}}ez and Concha Bielza and Pedro Larra{\~{n}}aga;Cost-sensitive selective naive Bayes classifiers for predicting the increase of the h-index for scientific journals;Neurocomputing;2014;;;Spain, Spain, Spain Zelaia2011;Zelaia, Ana and Alegria, I{\~n}aki and Arregi, Olatz and Sierra, Basilio;A multiclass/multilabel document categorization system: Combining multiple classifiers in a reduced dimension;Applied Soft Computing;2011;learning-ensamble;learning-ensamble;Spain, Spain, Spain, Spain GarcaAdeva20141498;J.J. García Adeva and J.M. Pikatza Atxa and M. Ubeda Carrillo and E. 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