Classification method and device of collection requirements, electronic equipment and medium

The invention relates to a classification method and device for collection demands, electronic equipment and a medium. The classification method comprises the following steps: carrying out word segmentation on standard demand texts corresponding to the collection demands to obtain tuples corresponding to each collection demand; splicing the demand name and the demand content in the tuple to obtain a spliced text, and adding the spliced text as an element into the tuple to obtain a first tuple; inputting the spliced text into a completely trained deep learning model, outputting a vectorization representation corresponding to the spliced text through the completely trained deep learning model, and adding the vectorization representation as an element into the first tuple to obtain a second tuple; and clustering a set formed by the second tuples corresponding to the collection demands based on a hierarchical clustering algorithm, and classifying the same collection demands into one class. According to the invent