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淘淘图兔兔呀
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RCV1: A New Benchmark Collection for Text Categorization Research——1. Introduction 引言
“Text categorization is the automated assignment of natural language texts to predefined categories based on their content. It is a supporting technology in several information processing tasks, including controlled vocabulary indexing, routing and packagi原创 2020-12-26 09:58:07 · 707 阅读 · 0 评论 -
The Automatic Text Classification Method Based on BERT and Feature Union——II. METHOD方法
“BERT is the state of the art model released by Google in October 2018. Compared to the previous pre-training model, itcan consider both sides of a character at the same time. It can be seen that the BERT implements the semantic informationof the context原创 2020-12-16 17:56:08 · 233 阅读 · 0 评论 -
The Automatic Text Classification Method Based on BERT and Feature Union——I. INTRODUCTION引言
“With the sharp increase of online text information data, text classification plays a vital role in information. It is a key technology to process large scale text information and drives the direction of information in the direction of automation.There are原创 2020-12-16 17:05:49 · 206 阅读 · 0 评论 -
Rocchio算法
Rocchio算法的核心思路是给每一个文档的类别都做一个的标准向量(也称为原型向量),然后用待分类的文档的向量和这个标准向量对比一下余弦相似度,相似度越高越可能属于该分类,反之亦然。参考资料:[1] https://blog.youkuaiyun.com/lilong117194/article/details/78987941...原创 2020-12-04 09:17:26 · 270 阅读 · 0 评论 -
Text Classification Algorithms: A Survey——1. Introduction引言
“Most text classification and document categorization systems can be deconstructed into the following four phases: Feature extraction, dimension reductions, classifier selection, and evaluations.”大多数文本分类和文档分类系统可以分解为以下四个阶段:特征提取、降维、分类器选择和评估。...原创 2020-12-01 18:07:59 · 373 阅读 · 0 评论 -
Text Classification Algorithms: A Survey——Abstract摘要
“The success of these learning algorithms relies on their capacity to understand complex models and non-linear relationships within data.”这些学习算法的成功依赖于它们理解复杂模型和数据中的非线性关系的能力。“However, finding suitable structures, architectures, and techniques for text clas原创 2020-12-01 16:53:15 · 206 阅读 · 0 评论