Browse State-of-the-Art › Author Profiling
Author Profiling
14 papers with code · 0 benchmarks · 1 dataset archive 2025-07-28
Author profiling is the analysis of a given set of texts in an attempt to uncover various characteristics of the author based on stylistic- and content-based features, or to identify the author. Characteristics analysed commonly include age and gender, though more recent studies have looked at other characteristics, like personality traits and occupation.
Author profiling is one of the three major fields in automatic authorship identification (AAI), the other two being authorship attribution and authorship identification.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
14 shown of 14 papers with code (58 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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9 Mar 2017 52 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 2 pointer-only (licence)This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
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11 Jun 2024 2 repositories listed Syntology ran 5 of 6 samples · 1 unverifiedRecently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide.
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3 Dec 2024 1 repository listedThis paper focuses on author profiling in the Bangla language, aiming to extract valuable insights about anonymous authors based on their writing style on social media.
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16 Jun 2022 1 repository listedOur system\footnote{The source code of our system is available at \url{https://github.
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19 Sep 2021 1 repository listedThis paper presents a unified user profiling framework to identify hate speech spreaders by processing their tweets regardless of the language.
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19 Sep 2021 1 repository listedDocuments as short as a single sentence may inadvertently reveal sensitive information about their authors, including e.
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27 Jan 2021 1 repository listedWritten language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information.
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25 Jan 2021 1 repository listedWe propose a new model "SpanEmo" casting multi-label emotion classification as span-prediction, which can aid ER models to learn associations between labels and words in a sentence.
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22 Aug 2019 1 repository listedAuthor profiling is the characterization of an author through some key attributes such as gender, age, and language.
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1 Jul 2019 1 repository listedIn this work, we present our approach for the Author Profiling task of PAN 2019.
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1 Aug 2018 1 repository listedThe rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet.
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26 Jun 2018 1 repository listedThis paper explores generalized pooling methods to enhance sentence embedding.
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10 Mar 2018 1 repository listedSo, we did this research on fake news/click-bait detection and trust us, it is totally great research, it really is!
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1 Sep 2017 1 repository listedAnd we have totally tested it, trust us!
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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