… This paper makes full use of the good ability of deep learning … based on deep learning and
design a text classifier based on … a experiment with Naive Bayes classifier, KNN classifier and …

… efficiency of recognition while determining the emotional tendencies of goods evaluation
accurately, this paper proposed a text classification approach based … the kNN and classification …

… two-step strategy text classification,(3) experimental results comparison ofRocchio,Naive
Bayes,KNN combination used in many types of English text classification.Experimental results …

… Abstract: The massive text mining filter requires a lot of storage space and stronger … of
MapReduce-based Bayesian is proposed. Based on the improved Naive Bayesian spam SMS …

… success in sentiment classification text categorization, and … ), Naive Bayes (NB), Bays Net
(BN), and k-nearest neighbor (… is based on combining four classifiers: naive Bayes, decision …

… (kNN)和朴素贝 叶斯(naïve Bayes)方法.选择kNN 是因为它是性能较好的分类器[10],我们选择
Naïve Bayes 方法… An empirical study of feature selection for text categorization based on term …

… efficient algorithm PSOKNN is proposed to reduce the computational complexity of KNN text
classification algorithm, it is based … and directed within training document set. During the …

… get a more efficient feature sequence. Based on ML-kNN(multi-label k-nearest neighbor), the
… 选择(feature selection for multi-label naive Bayes classification, MLNB)算法,基于标记相关性…

… of document category labels in the training dataset. Finally, we transformed the text classification
tasks into node classification… 基于KNN算法的藏文文本分类关键技术研究[J]. 西北民族大学…

… improve the performance of text classification systems with the help … text modeling. [Results]
The proposed method improved the value of marco-F1 and micro-F1 on Naive Bayes, KNN …