The maximal operator classifier
| Autor: | Yuqi Wang, Shuchao Feng, Wenqian Shang |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer science
business.industry Cosine similarity Value (computer science) Pattern recognition Set (abstract data type) ComputingMethodologies_PATTERNRECOGNITION Similarity (network science) Sample size determination Classification result Classifier (linguistics) Maximal operator Artificial intelligence business |
| Zdroj: | ICIS |
| DOI: | 10.1109/icis.2015.7166657 |
| Popis: | The KNN is a classic text classification algorithm. In this paper, we propose a new text classification algorithm based on the KNN. We set a text similarity threshold to optimize the value of K. In this way, we can avoid the wrong result of classification led by the unbalance of sample size. In the meantime, we use the maximal operator to calculate the text similarity instead of cosine similarity. According to the experimental data, we have made a better classification result in this way. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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