Z E Rasjid and R Setiawan 2017 Performance Comparison and Optimization of Text Document Classification using k-NN and Naive Bayes Classification Techniques Procedia Comput. Sci. 116 pp. 107-112Z. Rasjid, and R. Setiawan. (2017). Performance Comparison and Optimization of Text Document ...
Document classification aims to assign a document to one or more categories based on its contents. This paper suggests the use of Field association (FA) words algorithm with Naive Bayes Classifier to the problem of document categorization of Arabic language Our experimental study shows that using ...
Scalable document classification Summary: This paper describes the design and implementation of new naive Bayes and k-Nearest Neighbour methods that are highly scalable and efficient for d... JM Lee,RA Calvo - 《Intelligent Data Analysis》 被引量: 13发表: 2005年 Scalable document classification ...
Naive Bayes (NB) approaches are a widely used classification paradigm, due to their simplicity, efficiency, absence of parameters and effectiveness. However, they do not present competitive effectiveness when compared to other modern statistical learning methods, such as SVMs. This is related to some...
In this book, we address the problem of automated information retrieval and document classification using only positive examples.In this book, we show how a simple feed-forward neural network can be trained to filter documents under these conditions, and that this method seems to be superior to ...
This work implements an enhanced hybrid classification method through the utilization of the naive Bayes approach and the support vector machine (SVM). In this project, the Bayes formula was used to vectorize (as opposed to classify) a document according to a probability distribution reflecting the...
classification.We also showed that Maximum Entropy and Support Vector Machines are very robust to the feature vector size and outperform significantly the Naive Bayes classifier from the view point of the classification accuracy. The best classification accuracy is about 90% which is enough for an ...
Naive Bayes classifier: this is the probabilistic approach to classification. To determine the class of novel or unrecognized data, it applies the Bayes theorem of probability [28]. Fields like patient ID and last visit date, among others, are recognized and categorized using it in EHR patient ...
论文笔记(NLP)——Sentiment Classification using Document Embeddings trained with Cosine Similarity 1. Abstract Document embedding将每个文档映射到连续向量空间中一个密集的低维的向量。本文提出了使用余弦相似度(cosine similarity)代替点积(dot product)来训练document embedding。 数据集:IMDB 实验表明: 与dot ...
As we will show later, inhomogeneous word clustering can improve classification accuracy. There are also several document classification methods that do not rely on aggressive feature reduction, among which we mention Naive Bayes method (McCallum and Nigam, 1998), support vector machines (Joachims, ...