jatinmandav/Authorship-Attribution
Finding Gender/Age of Authors based on written text
This tool helps you convert written text into numerical representations, called 'word embeddings,' which can then be used to analyze characteristics of the author. You provide a piece of text, and it outputs a sequence of numbers that capture the meaning and context of the words. This is useful for researchers or analysts working with textual data who need to identify patterns related to authorship.
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Use this if you are a researcher or data scientist working with text and need to convert raw text into a numerical format for further analysis, especially for tasks like authorship attribution based on gender or age.
Not ideal if you need a complete, end-to-end solution for directly predicting author gender or age from text, as this tool only provides the text-to-vector conversion step.
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Language
Python
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Last pushed
Apr 21, 2019
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