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:
"newschannel|_neural_network"
we can use str.split() to get real clean name as follows:
"newschannel|_neuralnetwork".split('|_') ==> ["news_channel", "neural_network"]
Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd6632e405945ad4e9d71dc8f2dcf8b4b81 on Drxan:master into 50c45f1f4a394572381249681046f57e2bf5a591 on vi3k6i5:master.
Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd6632e405945ad4e9d71dc8f2dcf8b4b81 on Drxan:master into 50c45f1f4a394572381249681046f57e2bf5a591 on vi3k6i5:master.
Coverage decreased (-1.4%) to 97.952% when pulling 5b4d8cd6632e405945ad4e9d71dc8f2dcf8b4b81 on Drxan:master into 50c45f1f4a394572381249681046f57e2bf5a591 on vi3k6i5:master.
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: "newschannel|_neural_network" we can use str.split() to get real clean name as follows: "newschannel|_neuralnetwork".split('|_') ==> ["news_channel", "neural_network"]