63 lines
1.6 KiB
Python
63 lines
1.6 KiB
Python
#!/usr/bin/env python
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# coding: utf-8
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# In[56]:
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import re
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# In[57]:
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states = ['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'Florida', 'Georgia',
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'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland',
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'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey',
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'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Pennsylvania', 'Rhode Island', 'South Carolina',
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'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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# In[58]:
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def counter(text_in, query):
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pattern = re.compile(query)
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return len(pattern.findall(text_in, re.IGNORECASE))
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# In[59]:
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def state_prediction(text_in):
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state_dict = {}
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for state in states:
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state_dict[state.replace(" ", "_")] = counter(text_in, state)
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return max(state_dict, key=state_dict.get)
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# In[60]:
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def jurisdiction(path_in, path_out):
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with open(path_in, 'r', encoding='utf8') as file:
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lines = file.readlines()
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with open(path_out, 'wt')as file_out:
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for i in lines:
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file_out.write("jurisdiction="+str(state_prediction(i))+'\n')
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file_out.close()
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# In[61]:
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jurisdiction('dev-0/in.tsv', 'dev-0/out.tsv')
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jurisdiction('train/in.tsv', 'train/out.tsv')
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jurisdiction('test-A/in.tsv', 'test-A/out.tsv')
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# In[62]:
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# get_ipython().system('jupyter nbconvert --to script run.ipynb')
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