Author Profiling
14 papers with code • 0 benchmarks • 1 datasets
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.
Benchmarks
These leaderboards are used to track progress in Author Profiling
BN-AuthProf
Most implemented papers
A Structured Self-attentive Sentence Embedding
jadore801120/attention-is-all-you-need-pytorch
•
•
This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
A Synthetic Dataset for Personal Attribute Inference
Recently, powerful Large Language Models (LLMs) have become easily accessible to hundreds of millions of users world-wide.
We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind!
And we have totally tested it, trust us!
We Built a Fake News & Click-bait Filter: What Happened Next Will Blow Your Mind!
So, we did this research on fake news/click-bait detection and trust us, it is totally great research, it really is!
Enhancing Sentence Embedding with Generalized Pooling
This paper explores generalized pooling methods to enhance sentence embedding.
Author Profiling for Abuse Detection
The 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.
Bot and Gender Detection of Twitter Accounts Using Distortion and LSA
In this work, we present our approach for the Author Profiling task of PAN 2019.
Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features
Darg-Iztech/gender-prediction-from-tweets
•
•
Author profiling is the characterization of an author through some key attributes such as gender, age, and language.
SpanEmo: Casting Multi-label Emotion Classification as Span-prediction
hasanhuz/SpanEmo
•
•
EACL 2021
We 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.
Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling
Written language contains stylistic cues that can be exploited to automatically infer a variety of potentially sensitive author information.
