id  source-actor    source-content  source-targets  source-type ts
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
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

print(self.messages_df)
        self.messages_df.to_csv("messages.csv", sep='t')
        i = 0
        for row in self.messages_df:
            if self.messages_df['source-content'][i]['type'] == 'message':
                if self.messages_df['source-content'][i]['subtype'] == 'chat':
                    self.messages_df['source-content'] = self.messages_df['dic'].apply(lambda x: x.get('Feature3'))

                    file = 'chattextfile.txt'
                    if self.channel == '':
                        with open(file, 'w') as f:
                            f.write(row['text'])
                    else:
                        if row['channel_name'] == self.channel:
                            with open(file, 'w') as f:
                                f.write(row['text'])
                        else:
                            continue

            print(self.messages_df['source-content'][i]['subtype'] == 'chat')
            i = i + 1
            idx = idx + 1