Analisa Sentimen Terhadap Review Fintech Dengan Metode Naive Bayes Classifier Dan K- Nearest Neighbor
نویسندگان
چکیده
منابع مشابه
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective classification model in decades. However, its performance in ranking is unknown. In this paper, we conduct a systematic study on the ranking performance of KNN. At first, we compare KNN and KNNDW (KNN with distance weig...
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Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and by avoiding quantization of local image descriptors. It is based on the hypothesis that each local descriptor is drawn from a class-dependent probability measure. The density of the latter is estimated by the non-parametric kernel es...
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One of the difficulties that arises when using the K-nearest neighbor rule is that each of the labeled training samples is given equal importance in deciding the class of the query pattern to be classified, regardless of their typicality. In this paper, the theory of belief functions is introduced into the K-nearest neighbor rule to develop an evidential editing version of this algorithm. An ev...
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As of today, object categorization algorithms are not able to achieve the level of robustness and generality necessary to work reliably in the real world. Even the most powerful convolutional neural network we can train fails to perform satisfactorily when trained and tested on data from different databases. This issue, known as domain adaptation and/or dataset bias in the literature, is due to...
متن کاملImproving spam filtering by combining Naive Bayes with simple k-nearest neighbor searches
Using naive Bayes for email classification has become very popular within the last few months. They are quite easy to implement and very efficient. In this paper we want to present empirical results of email classification using a combination of naive Bayes and k-nearest neighbor searches. Using this technique we show that the accuracy of a Bayes filter can be improved slightly for a high numbe...
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ژورنال
عنوان ژورنال: EVOLUSI : Jurnal Sains dan Manajemen
سال: 2020
ISSN: 2657-0793,2338-8161
DOI: 10.31294/evolusi.v8i1.7535