SenticNet/personality-detection
Implementation of a hierarchical CNN based model to detect Big Five personality traits
This helps researchers, psychologists, or HR professionals analyze written text to understand an author's personality. By inputting text samples (like essays or written responses), it predicts the 'Big Five' personality traits: Extroversion, Neuroticism, Agreeableness, Conscientiousness, and Openness. The output is a personality profile based on these traits, useful for psychological assessment or content analysis.
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Use this if you need to infer psychological personality traits from written text, such as in research studies or content analysis of user-generated content.
Not ideal if you need real-time personality detection or analysis of very short text snippets, as it's designed for document-level modeling.
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509
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Language
Python
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MIT
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Last pushed
Jan 26, 2020
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