Using SRU for text sentiment analysis, three categories, fast speed, high accuracy, using keras environment, practical.

Filename	Size	Update
keras-SRU-master	0	2020-01-11
keras-SRU-master\.gitignore	1157	2017-11-10
keras-SRU-master\.idea	0	2020-01-11
keras-SRU-master\.idea\encodings.xml	159	2017-11-10
keras-SRU-master\.idea\inspectionProfiles	0	2020-01-11
keras-SRU-master\.idea\inspectionProfiles\Project_Default.xml	808	2017-11-10
keras-SRU-master\.idea\keras-SRU.iml	459	2017-11-10
keras-SRU-master\.idea\misc.xml	4163	2017-11-10
keras-SRU-master\.idea\modules.xml	270	2017-11-10
keras-SRU-master\.idea\vcs.xml	180	2017-11-10
keras-SRU-master\README.md	1595	2017-11-10
keras-SRU-master\__pycache__	0	2020-01-11
keras-SRU-master\__pycache__\sru.cpython-37.pyc	12444	2020-01-11
keras-SRU-master\imdb.npz	17464789	2020-01-11
keras-SRU-master\imdb_lstm.py	2039	2017-11-10
keras-SRU-master\imdb_sru.py	3103	2020-01-11
keras-SRU-master\imdb_word_index.json	1641221	2020-01-11
keras-SRU-master\sru.py	17621	2017-11-10

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