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  1. id  source-actor    source-content  source-targets  source-type ts
  2. 9   9   U04JLN95U   {'type': 'message', 'subtype': 'chat', 'channel_id': 'C23U8N6QN', 'channel_name': 'contender', 'text': 'Y: Solved character encoding issue. Tried to extract text content of html tumblr text using Hersheys html extractor code. But most of the docs were not extracted successfully.nT: Will try to find ways of doing the html to text conversion successfully.', 'user': 'U04JLN95U'} ['C23U8N6QN']   slack   2016-10-12 05:17:47.000009060
  3. 10  10  U0B62PE2Y   {'type': 'message', 'subtype': 'chat', 'channel_id': 'C23U8N6QN', 'channel_name': 'contender', 'text': 'Y:Was able to use a faster version of gensim while processing one sentence at a timenT: Will try to start the training using some sample files', 'user': 'U0B62PE2Y'}  ['C23U8N6QN']   slack   2016-11-26 11:16:11.000005960
  4.    
  5. print(self.messages_df)
  6.         self.messages_df.to_csv("messages.csv", sep='t')
  7.         i = 0  
  8.         for row in self.messages_df:
  9.             if self.messages_df['source-content'][i]['type'] == 'message':
  10.                 if self.messages_df['source-content'][i]['subtype'] == 'chat':
  11.                     self.messages_df['source-content'] = self.messages_df['dic'].apply(lambda x: x.get('Feature3'))
  12.  
  13.                     file = 'chattextfile.txt'
  14.                     if self.channel == '':
  15.                         with open(file, 'w') as f:
  16.                             f.write(row['text'])
  17.                     else:
  18.                         if row['channel_name'] == self.channel:
  19.                             with open(file, 'w') as f:
  20.                                 f.write(row['text'])
  21.                         else:
  22.                             continue
  23.  
  24.             print(self.messages_df['source-content'][i]['subtype'] == 'chat')                  
  25.             i = i + 1
  26.             idx = idx + 1
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