Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: House Price Prediction Based On Deep Learning   Since ancient times, what Chinese people have been pursuing is very simple,
which is nothing more than "to live and work happily, to eat and dress
comfortable". Today, more than 40 years after the reform and opening, people
have basically solved the problem of food and clothing, and the urgent problem
is housing. Nowadays, due to the storm of long-term rental apartment
intermediary platforms such as eggshell, increasing the sense of insecurity of
renters, as well as the urbanization in recent years and the scramble for
people in major cities, this will make the future real estate market
competition more intense. In order to better grasp the real estate price, let
consumers buy a house reasonably, and provide a reference for the government to
formulate policies, this paper summarizes the existing methods of house price
prediction and proposes a house price prediction method based on mixed depth
vision and text features.

5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
36
The categories of this paper are: cmp-lg
26
The categories of this paper are: bayes-an
3
The categories of this paper are: physics
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th