Papers with Code 아카이브

Author Profiling

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

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.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Author Profiling

코드

https://github.com/Darg-Iztech/gender-prediction-from-tweets

https://github.com/abdelkadermh/isarcasmeval

https://github.com/cmry/reap

https://github.com/crusnic-corp/BN-AuthProf

https://github.com/eth-sri/synthpai

https://github.com/gkaradzhov/ClickbaitRANLP

https://github.com/hasanhuz/SpanEmo

https://github.com/isspek/cross-lingual-cyberbullying

https://github.com/lukecq1231/generalized-pooling

https://github.com/uds-lsv/author-profiling-prevention-bt

https://github.com/CenIII/WSNet

https://github.com/ExplorerFreda/Structured-Self-Attentive-Sentence-Embedding

https://github.com/HearyShen/HAN-SelfAttentive

https://github.com/HiJiGOO/self-attentive

https://github.com/Kailianghu/A-Structured-Self-Attentive-Sentence-Embedding

https://github.com/Lemoners/Attention-Is-All-You-Need

https://github.com/MFajcik/RumourEval2019

https://github.com/MohamedAbdelsalam9/TT-Transformer

https://github.com/Neoanarika/torchexplainer

https://github.com/OPAYA/Transformer

https://github.com/PrashantRanjan09/Structured-Self-Attentive-Sentence-Embedding

https://github.com/Rudedaisy/attention-is-all-you-need-pytorch

https://github.com/SeoroMin/transformer_pytorch

https://github.com/SeoroMin/transformer_pytorch_ver2

https://github.com/ShuvenduBikash/transformer_spelling_corrector

https://github.com/Tao-Mind/QDD_Net

https://github.com/TieDanCuihua/A-STRUCTURED-SELF-ATTENTIVE-SENTENCE-EMBEDDING

https://github.com/ZmeiGorynych/transformer_pytorch

https://github.com/anirudharc/transformer

https://github.com/celsolbm/Attention_Text

https://github.com/celsolbm/imdb_sentiment_experiments

https://github.com/dataflowr/self-attentive-sentence-embedding

https://github.com/dhesenkamp/attentive-lstm

https://github.com/dmlc/gluon-nlp

https://github.com/esadsetts/Mod_4_project

https://github.com/eth-sri/llm-anonymization