notebook.community

Edit and run 





In [2]:



    


import os



    











In [3]:



    


pwd



    


















    
Out[3]:








'/Users/rishushrivastava/Documents/GitHub/MLPy'

















In [32]:



    


path = "/Users/rishushrivastava/Documents/AI/Dataset/bbc"

file_list = []
for dirpath,dirname,filename in os.walk(path):
    category = dirpath.split('/')[-1]
    [ file_list.append((category, dirpath+'/'+f)) for f in filename if '.txt' in f ]

file_list



    


















    
Out[32]:








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 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/498.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/467.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/301.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/315.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/473.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/329.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/328.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/314.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/472.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/466.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/300.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/499.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/116.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/102.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/062.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/076.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/089.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/248.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/260.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/506.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/274.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/258.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/270.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/502.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/264.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/099.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/072.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/066.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/106.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/112.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/489.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/338.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/304.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/462.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/476.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/310.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/477.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/311.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/305.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/463.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/339.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/488.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/113.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/107.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/067.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/073.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/098.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/503.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/265.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/271.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/259.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/298.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/267.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/501.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/273.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/059.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/065.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/071.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/139.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/111.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/105.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/449.txt'),
 ('sport', '/Users/rishushrivastava/Documents/AI/Dataset/bbc/sport/313.txt'),
 ...]

















In [54]:



    


data_content = []

for category, files in file_list:
    with open(files,'r',encoding='latin1') as f:
        #print(f'reading file {files} in category: {category}')
        content = f.read()
        content_dict = {'category':category, 'content':content, 'filename':files}
        data_content.append(content_dict)



    











In [ ]:



    


data_content



    











In [47]:



    


import json

output_path = '/Users/rishushrivastava/Documents/AI/Dataset/'

with open(output_path+'bbc_raw_dict.json','w') as of:
    json.dump(data_content, of)



    











In [48]:



    


import pandas as pd



    











In [49]:



    


read_data = pd.read_json(output_path+'bbc_raw_dict.json')

read_data.head()



    


















    
Out[49]:











  
    

      
      category
      content
      filename
    

  
  
    

      0
      entertainment
      Musicians to tackle US red tape\n\nMusicians' ...
      /Users/rishushrivastava/Documents/AI/Dataset/b...
    

    

      1
      entertainment
      U2's desire to be number one\n\nU2, who have w...
      /Users/rishushrivastava/Documents/AI/Dataset/b...
    

    

      2
      entertainment
      Rocker Doherty in on-stage fight\n\nRock singe...
      /Users/rishushrivastava/Documents/AI/Dataset/b...
    

    

      3
      entertainment
      Snicket tops US box office chart\n\nThe film a...
      /Users/rishushrivastava/Documents/AI/Dataset/b...
    

    

      4
      entertainment
      Ocean's Twelve raids box office\n\nOcean's Twe...
      /Users/rishushrivastava/Documents/AI/Dataset/b...
    

  




















In [50]:



    


read_data['category'].value_counts()



    


















    
Out[50]:








business         510
entertainment    386
sport            208
Name: category, dtype: int64

















In [ ]:

Content source: rishuatgithub/MLPy

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