Some key_words have multiple different clean_names#71
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Drxan wants to merge 30 commits intovi3k6i5:masterfrom
Open
Some key_words have multiple different clean_names#71Drxan wants to merge 30 commits intovi3k6i5:masterfrom
Drxan wants to merge 30 commits intovi3k6i5:masterfrom
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added reference to flashtext paper
added citation
corrected citation
`charactes` | `characters` `explaination` | `explanation` `matche` | `match`
Fix issue with incomplete keyword at the end of the sentence
Performances improvement for strings manipulations
…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"]
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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"]