Applying zero-shot learning on classification task.
A multi-label text classification project to classify the category of research papers from its title and abstract.
The project involves an innovative 3D flower avatar — a rose, that dynamically visualizes human emotions through color changes and movement, redefining human-computer interaction.
A text classification model from data collection, model training, and deployment.
The goal of this project is to analyze the emotion of retrospectively written psychedelic trip reports to further understand the subjective experience of psychedelic states.
Classify movie genre from its summary.
A multilabel text classifier model which can predict book genres based on the description provided.
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