Scientific and technical information acquisition and pushing method based on text classification and image deep mining

The invention discloses a scientific and technical information acquisition and pushing method based on text classification and image deep mining. The method is characterized in that keywords in scientific and technical fields that users follow are acquired according users' customization, web crawlers are compiled by Python language, essays, news and patents, related to the keywords in the scientific and technical fields that users follow, are acquired from webpages through the HTTP protocol, the acquired webpage scientific and technical information contents are classified on a Weka platform by a support vector machine classification algorithm, image information in scientific and technical information content documents is extracted and stored by a dividing line algorithm, and finally, the acquired scientific and technical content data are pushed via WeChat public subscribers.