通过监督学习对未训练数据进行多标签文本分类

Mayank Budhiraja
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引用次数: 2

摘要

数字数据世界正以极快的速度增长,每分钟都有新的数据产生和处理。所有的信息检索过程从不足到过剩。它每年都在翻倍,这使得信息检索更具挑战性。我们的重点是将庞大的数据流从不利因素转变为我们的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi label text classification for un-trained data through supervised learning
World of digital data is growing at an aggressive rate, where every single minute new data is created and processed. All information retrieval processes are gone from insufficient to overflowing. It is doubling each and every year which makes information retrieval more challenging. Our focus is to turn this immense data streams from a liability to our strengths.
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