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This research paper proposes sentiment analysis of pets using deep learning technologies in the artificial intelligence of things system. Mask R-CNN is used to detect image objects and generate contour mask maps, pose analysis algorithms are used to obtain object posture information, and at the same time object sound signals are converted into spec...
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Citations
A model for positive/negative sentiment analysis of phone conversations audio data is considered. Over six thousand features are retrieved employing opensmile Python library, afterward the most significant features are selected. Sentiment analysis of the related text data of conversations is also carried out. An attempt to combine features retrieved from audio and text is performed to increase the quality of binary sentiment classification. Practically acceptable results are obtained. An original algorithm is developed and implemented, which includes data preprocessing, model training, and verification. A research software package has been developed to solve the problem of bank scoring.Tolstoukhov, D. E.Egorov, D. P.Verina, Y. V.Kravchenko, V.
