Titlebook: Analysis of Images, Social Networks and Texts; 9th International Co Wil M. P. van der Aalst,Vladimir Batagelj,Elena Tu Conference proceedin

MERIT

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crease

同謀

軍火

A Comparative Study of Feature Types for Age-Based Text Classification children’s or adult. We evaluated the following types of features: readability indices, sentiment, lexical, grammatical and general features, and publishing attributes. The results obtained show that the features describing the text at the document level can significantly increase the quality of machine learning models.

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Identifying User Interests and Habits Using Object Detection and Semantic Segmentation Modelslude 90200 photos in total. The accuracy of the developed models is from 83.7% up to 86.6% mAP for object detection depending on a specific category of objects and 78.4% pixel accuracy for segmentation.

Misgiving