Natural language processing from Xiaobai to proficient (4): using machine learning to classify Chinese email content

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Preface

With the rapid development of wechat , Communication in work and life also depends more on this , But due to the formality and standardization of e-mail , It is still irreplaceable . But whether it's the internal work mailbox of the enterprise , Or personal email , Always receive all kinds of spam , Including business advertising 、 Discount promotion information 、 Macau gaming mail 、 Financial promotion information, etc , No matter how spam is classified , There's always a catch . most important of all , Different users have different definitions of spam .

And most users have a general awareness of network security , In case of delay, spam gets hooked , Or because spam swamps key letters at work , It will cause losses to individuals or enterprises .

Spam identification has always been a pain point and difficulty , Although the method is based on Bayesian learning, probability statistics or deep learning