27 gave an improved ensemble model for Chinese text classification based on CNN and RNN structure. Guo et al.28 propose a text classification method based on the Convolutional and Bi-LSTM Model (CBM), which can extract both the local shallow semantic features and the global deep semantic ...
Method and system for carrying out sentiment classification on Chinese comment text on basis of ensemble learning本发明涉及模式识别领域,公开了一种基于集成学习的中文评论文本的情感分类方法和基于该方法的系统. The present invention relates to the field of pattern recognition, disclosed sentiment ...
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[29] and some combination strategies are developed, for instance, integration of recognition and verification [30], combination of segmentation-based system and segmentation-free system [31], ensemble of classifiers [32]. As for textline recognition, two typical systems for English handwriting with ...
Machine-learning model and feature importance Extreme gradient boosting (XGBoost) is an optimized algorithm for classifier based on the ensemble of weak learners. The XGBoost model was utilized in this study to analyze relevant factors by providing feature importance scores for each input data feature...
Business failure prediction based on two-stage selective ensemble with manifold learning algorithm and kernel-based fuzzy self-organizing map More and more models and algorithms are used to predict business failure. Many of them are not suitable for the complicated distribution of financial data,......
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods. J Am Med Inform Assoc. 2020;27(1):39–46. Article Google Scholar Xu D, Zhang M, Zhao T, Ge C, Gao W, Wei J, Zhu KQ. Data-driven information extraction from chinese...
Load Tensorflow pb file using Bert/TextCNNs, an ensemble model using Java. text-classificationbertjava-tensorflowbert-modelbert-chinesebert-as-servicebert-java UpdatedAug 20, 2021 Java 基於BERT的中文答題模組 question-answeringbert-modelbert-chinese ...
[23] proposed Multi-model LSTM-based Pre-trained Convolutional Neural Networks (MLP-CNNs) as an ensemble majority voting classifier for the detection of plant diseases and pests. Chang et al. [24] successfully constructed and trained deep-learning models based on the deep convolution neural ...