如何查询特定年份的arXiv？

如何解决如何查询特定年份的arXiv？

我正在使用下面显示的代码，以便从arXiv检索论文。我想检索标题中带有“机器”和“学习”字样的论文。论文数量很多，因此我想按年份（published）进行切片。

如何在search_query中请求2020年和2019年的记录？请注意，我对后过滤不感兴趣。

import urllib.request

import time
import Feedparser

# Base api query url
base_url = 'http://export.arxiv.org/api/query?';

# Search parameters
search_query = urllib.parse.quote("ti:machine learning")
start = 0
total_results = 5000
results_per_iteration = 1000
wait_time = 3

papers = []

print('Searching arXiv for %s' % search_query)

for i in range(start,total_results,results_per_iteration):
    
    print("Results %i - %i" % (i,i+results_per_iteration))
    
    query = 'search_query=%s&start=%i&max_results=%i' % (search_query,i,results_per_iteration)

    # perform a GET request using the base_url and query
    response = urllib.request.urlopen(base_url+query).read()

    # parse the response using Feedparser
    Feed = Feedparser.parse(response)

    # Run through each entry,and print out information
    for entry in Feed.entries:
        #print('arxiv-id: %s' % entry.id.split('/abs/')[-1])
        #print('Title:  %s' % entry.title)
        #Feedparser v4.1 only grabs the first author
        #print('First Author:  %s' % entry.author)
        paper = {}
        paper["date"] = entry.published
        paper["title"] = entry.title
        paper["first_author"] = entry.author
        paper["summary"] = entry.summary
        papers.append(paper)
    
    # Sleep a bit before calling the API again
    print('Bulk: %i' % 1)
    time.sleep(wait_time)

解决方法

根据arXiv documentation，没有published或date字段可用。

您可以做的是按日期sort the results（通过在查询参数中添加&sortBy=submittedDate&sortOrder=descending）并在到2018年时停止发出请求。

基本上，您的代码应像这样修改：

import urllib.request

import time
import feedparser

# Base api query url
base_url = 'http://export.arxiv.org/api/query?';

# Search parameters
search_query = urllib.parse.quote("ti:machine learning")
i = 0
results_per_iteration = 1000
wait_time = 3
papers = []
year = ""  
print('Searching arXiv for %s' % search_query)

while (year != "2018"): #stop requesting when papers date reach 2018
    print("Results %i - %i" % (i,i+results_per_iteration))
    
    query = 'search_query=%s&start=%i&max_results=%i&sortBy=submittedDate&sortOrder=descending' % (search_query,i,results_per_iteration)

    # perform a GET request using the base_url and query
    response = urllib.request.urlopen(base_url+query).read()

    # parse the response using feedparser
    feed = feedparser.parse(response)
    # Run through each entry,and print out information
    for entry in feed.entries:
        #print('arxiv-id: %s' % entry.id.split('/abs/')[-1])
        #print('Title:  %s' % entry.title)
        #feedparser v4.1 only grabs the first author
        #print('First Author:  %s' % entry.author)
        paper = {}
        paper["date"] = entry.published
        year = paper["date"][0:4]
        paper["title"] = entry.title
        paper["first_author"] = entry.author
        paper["summary"] = entry.summary
        papers.append(paper)
    # Sleep a bit before calling the API again
    print('Bulk: %i' % 1)
    i += results_per_iteration
    time.sleep(wait_time)

对于“后过滤”方法，一旦收集到足够的结果，我将执行以下操作：

papers2019 = [item for item in papers if item["date"][0:4] == "2019"]