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April 7, 2017 07:24 pm GMT
The researchers over at OpenAI were able to use a recurrent mLSTM character-level model trained on Amazon reviews to identify the sentiment of blocks of text. And perhaps more interestingly, the team was able to generate new text with customizable sentiment. Neither LSTMs nor sentiment analysis are new, but combining them in a way that reportedly breaks records for sentiment analysis accuracy… Read More
Original Link: http://feedproxy.google.com/~r/Techcrunch/~3/fHEl1zwW_5A/
OpenAI sets benchmark for sentiment analysis using an efficient mLSTM
The researchers over at OpenAI were able to use a recurrent mLSTM character-level model trained on Amazon reviews to identify the sentiment of blocks of text. And perhaps more interestingly, the team was able to generate new text with customizable sentiment. Neither LSTMs nor sentiment analysis are new, but combining them in a way that reportedly breaks records for sentiment analysis accuracy… Read MoreOriginal Link: http://feedproxy.google.com/~r/Techcrunch/~3/fHEl1zwW_5A/
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