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Emotion-Based Recommendation Generator (EMORec v1.0)

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A Python library which performs emotion-based analysis and recommendation using a multiple-instance regression algorithm for a set of multimedia items described by transcripts

The algorithm is trained over 1200 TED talks using the original human-made transcripts and the corresponding community emotion labels. The library can be used in command line or directly in a Python program.

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Resource Information
Resource type: software
Date: Dec 12, 2014
Size: 18M
Distribution: Web
Contact: Nikolaos PAPPAS
+41 277 217 814
+41 277 217 729