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Some key_words have multiple different clean_names #71

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@Drxan Drxan commented Dec 20, 2018

For example:
keyword_processor = KeywordProcessor()
keyword_dict = {"news_channel": ["CNN","CCTV","BBC"],"neural_network": ["CNN", "RNN"]}
keyword_processor.add_keywords_from_dict(keyword_dict)
keyword_processor.extract_keywords('I like CNN')
we hope get result as follows:
"news_channel_|neural_network"
we can use str.split() to get real clean name as follows:
"news_channel
|neural_network".split('|_') ==> ["news_channel", "neural_network"]

…names

For example:
    keyword_processor = KeywordProcessor()
    keyword_dict = {"news_channel": ["CNN","CCTV","BBC"],"neural_network": ["CNN", "RNN"]}
    keyword_processor.add_keywords_from_dict(keyword_dict)
    keyword_processor.extract_keywords('I like CNN')
we hope get result as follows:
   ("news_channel", "neural_network")
For example:
    keyword_processor = KeywordProcessor()
    keyword_dict = {"news_channel": ["CNN","CCTV","BBC"],"neural_network": ["CNN", "RNN"]}
    keyword_processor.add_keywords_from_dict(keyword_dict)
    keyword_processor.extract_keywords('I like CNN')
we hope get result as follows:
   "news_channel_|_neural_network"
we can use str.split() to get real clean name as follows:
  "news_channel_|_neural_network".split('_|_') ==> ["news_channel", "neural_network"]
@coveralls
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Coverage Status

Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd on Drxan:master into 50c45f1 on vi3k6i5:master.

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@coveralls
Copy link

Coverage Status

Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd on Drxan:master into 50c45f1 on vi3k6i5:master.

@coveralls
Copy link

Coverage Status

Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd on Drxan:master into 50c45f1 on vi3k6i5:master.

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