Text-Item Classification Algorithm
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A Text-Item Classification Algorithm is a classification algorithm that can be implemented by a[ text-item classification system to solve a text classification task.
- Context:
- It can range from being a Single-Label Text Classification Algorithm to being (typically) a Multi-Label Text Classification Algorithm.
- It can range from being a Heuristic Text Classification Algorithm to being a Data-Driven Text Classification Algorithm (such as a supervised text classification algorithm).
- ...
- Example(s):
- Counter-Example(s):
- See: Sentiment Classification Algorithm, Labeled Corpus.
References
2020
- (Qi, 2020) ⇒ Zhang Qi. (2020). “The Text Classification of Theft Crime based on TF-IDF and XGBoost Model.” In: 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA-2020)
2007
- (Shehata et al., 2007) ⇒ Shady Shehata, Fakhri Karray, and Mohamed Kamel. (2007). “A Concept-based Model for Enhancing Text Categorization." (KDD-2007) In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007).
- (Thet et al., 2007) ⇒ Tun Thura Thet, Jin-Cheon Na, and Christopher S. G. Khoo. (2007). “Filtering Product Reviews from Web Search Results.” In: Proceedings of the 2007 ACM symposium on Document Engineering.
2002
- (Lodhi et al., 2002) ⇒ Huma Lodhi, Craig Saunders, John Shawe Taylor, Nello Cristianini, and Chris Watkins. (2002). “Text Classification Using String Kernels.” In: The Journal of Machine Learning Research, 2.
- (Sebastiani, 2002) ⇒ Fabrizio Sebastiani. (2002). “Machine Learning in Automated Text Categorization.” In: Association of Computing Machinery Computing Surveys (CSUR), 34(1).
2000
- (Nigam et al., 2000) ⇒ Kamal Nigam, Andrew McCallum, Tom M. Mitchell, and W. Cohen. (2000). “Text Classification from Labeled and Unlabeled Documents Using EM.” In: Machine Learning. doi:10.1023/A:1007692713085
1999
- (McCallum, 1999) ⇒ Andrew McCallum. (1999). “Multi-label Text Classication with a Mixture Model Trained by EM.” In: AAAI 99 Workshop on Text Learning.
1998
- (Joachims, 1998) ⇒ Thorsten Joachims. (1998). “Text Categorization with Support Vector Machines: Learning with Many Relevant Features.” In: Proceedings of the European Conference on Machine Learning (ECML 1998).
- (McCallum & Niham, 1998) ⇒ Andrew McCallum, Kamal Nigam. (1998). “A Comparison of Event Models for Naive Bayes Text Classification.” In: AAAI/ICML-98 Workshop on Learning for Text Categorization.
- (Apte et al., 1998) ⇒ C. Apte, F. Damerau, and Sholom M. Weiss. (1998). “Text mining with decision rules and decision trees.” In: Proceedings of the Conference on Automated Learning and Discorery, Workshop 6: Learning from Text and the Web.
- (Baker & McCallum, 1998) ⇒ L. Douglas Baker, Andrew McCallum. (1998). “Distributional Clustering of Words for Text Classification.” In: Proceedings of the 21st ACM SIGIR Conference Retrieval (SIGIR 1998).
- (Lam & Ho, 1998) ⇒ Wai Lam, and Chao Yang Ho. (1998). “Using a Generalized Instance Set for Automatic Text Categorization.” In: Proceedings of the 21st ACM SIGIR Conference retrieval (SIGIR 1998). doi:10.1145/290941.290961
- (McCallum & Nigam, 1998) ⇒ Andrew McCallum, and Kamal Nigam. (1998). “A Comparison of Event Models for Naive Bayes Text Classification.” In: Proceedings of AAAI-98 Workshop on Learning for Text Categorization.
- Thorsten Joachims. (1998). “Text Categorization with Support Vector Machines: Learning with Many Relevant Features.” In: Proceedings of the European Conference on Machine Learning (ECML),
1996
- David D. Lewis, Robert E. Schapire, James P. Callan, and Ron Papka. (1996). “Training algorithms for linear text classifiers.” In: Proceedings of the 19th ACM SIGIR Conference retrieval.
- William W. Cohen, and Yoram Singer. (1996). “Context-Sensitive Learning Methods for Text Categorization.” In: Proceedings of the 19th ACM SIGIR Conference Retrieval.
- I. Moulinier, G. Raskinis, and J. Ganascia. (1996). “Text categorization: a symbolic approach.” In: Proceedings of the Fifth Annual Symposium on Document Analysis and Information Retrieval.
1995
- William W. Cohen. (1995). “Text Categorization and Relational Learning.” In: The Twelfth International Conference on Machine Learning (ICML 1995).
1994
- Chidanand Apté, Fred Damerau, and Sholom M. Weiss. (1994). “Towards Language Independent Automated Learning of Text Categorization Models.” In: Proceedings of the 17th ACM SIGIR Conference Retrieval.
- (Yang & Chute, 1994) ⇒ Yiming Yang, and Christopher G. Chute. (1994). “An Example-based Mapping Method for Text Categorization and Retrieval.” In: ACM Transactions on Information Systems (TOIS 1994), 12(3).
- (Cavnar & Trenkle, 1994) ⇒ William B. Cavnar, and John M. Trenkle. (1994). “N-gram-based Text Categorization.” In: Proceedings of SDAIR-94, 3rd Annual Symposium on Document Analysis and Information Retrieval.
1993
- Kostas Tzeras, Stephan Hartmann. (1993). “Automatic Indexing Based on Bayesian Inference Networks.” In: Proceedings of the 16th ACM SIGIR Conference retrieval (SIGIR 1993).
1991
- N. Fuhr, S. Hartmanna, G. Lustig, M. Schwantner, and K. Tzeras. (1991). “Air/x - a rule-based Multistage Indexing Systems for Large Subject Fields.” In: Proceedings of RIAO 1991.
1975
- (Field, 1975) ⇒ B. J. Field. (1975). “Towards Automatic Indexing: Automatic assignment of controlled-language indexing and classification from free indexing.” In: : Journal of Documentation, 31(4). doi:10.1108/eb026605
1963
- (Borko & Bernick, 1963) ⇒ Harold Borko, and Myrna Bernick. (1963). “Automatic Document Classification.” In: Journal of the ACM (JACM).