Cited by

Cited by 22 other publications

Altınel, Berna & Murat Can Ganiz
2018. Semantic text classification: A survey of past and recent advances. Information Processing & Management 54:6  pp. 1129 ff. DOI logo
An, Seongho, Bok Gyo Jeong, Mirae Kim, Sung-Ju Kim & Jiwon Suh
2022. Globalizing the Field by Learning from Non-English-Based Nonprofit Studies: A Review of South Korean Nonprofit Literature. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations DOI logo
Bai, Rujiang, Xiaoyue Wang & Junhua Liao
2010. Extract Semantic Information from WordNet to Improve Text Classification Performance. In Advances in Computer Science and Information Technology [Lecture Notes in Computer Science, 6059],  pp. 409 ff. DOI logo
Bloehdorn, Stephan & Andreas Hotho
2009. Ontologies for Machine Learning. In Handbook on Ontologies,  pp. 637 ff. DOI logo
Chy, Abu Nowshed, Md Hanif Seddiqui & Sowmitra Das
2014. 16th Int'l Conf. Computer and Information Technology,  pp. 366 ff. DOI logo
Gómez Hidalgo, José María, Manuel de Buenaga Rodríguez & José Carlos Cortizo Pérez
2005. The Role of Word Sense Disambiguation in Automated Text Categorization. In Natural Language Processing and Information Systems [Lecture Notes in Computer Science, 3513],  pp. 298 ff. DOI logo
Hammer, Hugo Lewi, Anis yazidi, Aleksander Bai & Paal Engelstad
2016. Proceedings of the 31st Annual ACM Symposium on Applied Computing,  pp. 1174 ff. DOI logo
Hammer, Hugo Lewi, Anis Yazidi, Aleksander Bai & Paal Engelstad
2017. Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. In Industrial Networks and Intelligent Systems [Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 188],  pp. 122 ff. DOI logo
Hu, Jian, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua Li, Qiang Yang & Zheng Chen
2008. Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval,  pp. 179 ff. DOI logo
Huseynova, Farida
2021. Imprecision of Semantic Meaning in a Natural Language. In 14th International Conference on Theory and Application of Fuzzy Systems and Soft Computing – ICAFS-2020 [Advances in Intelligent Systems and Computing, 1306],  pp. 239 ff. DOI logo
Jun, So-Young, Dinara Aliyeva, Ji-Min Lee & SangKeun Lee
2018. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE),  pp. 1 ff. DOI logo
Kanika, Shampa Chakraverty, Pinaki Chakraborty, Aditya Aggarwal, Manan Madan & Gaurav Gupta
2022. Enriching WordNet with Subject Specific Out of Vocabulary Terms Using Existing Ontology. In Data Engineering for Smart Systems [Lecture Notes in Networks and Systems, 238],  pp. 205 ff. DOI logo
Liao, Junhua & Rujiang Bai
2009. Building “Bag of Conception” Model Based on DBpedia. In Advances in Software Engineering [Communications in Computer and Information Science, 30],  pp. 66 ff. DOI logo
Luo, Qiming, Enhong Chen & Hui Xiong
2011. A semantic term weighting scheme for text categorization. Expert Systems with Applications 38:10  pp. 12708 ff. DOI logo
Nyberg, Katariina, Tapani Raiko, Teemu Tiinanen & Eero Hyvönen
2010. Proceedings of the Eighth Workshop on Mining and Learning with Graphs,  pp. 86 ff. DOI logo
Poyraz, Mitat, Murat C. Ganiz, Selim Akyokus, Burak Gorener & Zeynep Hilal Kilimci
2012. 2012 International Symposium on Innovations in Intelligent Systems and Applications,  pp. 1 ff. DOI logo
Reforgiato Recupero, Diego
2007. A new unsupervised method for document clustering by using WordNet lexical and conceptual relations. Information Retrieval 10:6  pp. 563 ff. DOI logo
Renjith, Shini, A. Sreekumar & M. Jathavedan
2022. Taxonomy grooming algorithm ‐ An autodidactic domain specific dimensionality reduction approach for fast clustering of social media text data. Concurrency and Computation: Practice and Experience 34:11 DOI logo
Wang, Pu, Jian Hu, Hua-Jun Zeng, Lijun Chen & Zheng Chen
2007. Seventh IEEE International Conference on Data Mining (ICDM 2007),  pp. 332 ff. DOI logo
Wang, Pu, Jian Hu, Hua-Jun Zeng & Zheng Chen
2009. Using Wikipedia knowledge to improve text classification. Knowledge and Information Systems 19:3  pp. 265 ff. DOI logo
Zhang, Wen, Taketoshi Yoshida & Xijin Tang
2008. Text classification based on multi-word with support vector machine. Knowledge-Based Systems 21:8  pp. 879 ff. DOI logo
Zhang, Wen, Taketoshi Yoshida & Xijin Tang
2009. Using ontology to improve precision of terminology extraction from documents. Expert Systems with Applications 36:5  pp. 9333 ff. DOI logo

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