Oct 25, 2023 · In this paper, we propose a novel Word2vec graph based modeling of a document that can rightly capture both context and style of the document.

Oct 25, 2023 · By using these Word2vec graph based features, we perform classification to perform author attribution and genre detection tasks. Our detailed ...

By using these Word2vec graph based features, we perform classification to perform author attribution and genre detection tasks. Paper · Add Code ...

Analyzing the writing styles of authors and articles is a key to supporting various literary analyses such as author attribution and genre detection.

Co-authors ; The Word2vec Graph Model for Author Attribution and Genre Detection in Literary Analysis. NI Tripto, ME Ali. arXiv preprint arXiv:2310.16972, 2023.

By using these Word2vec graph based features, we perform classification to perform author attribution and genre detection tasks. Author Attribution · Paper

The Word2vec Graph Model for Author Attribution and Genre Detection in Literary Analysis · Authorship Attribution in Bangla Literature (AABL) via Transfer ...

By using these word2vec graph based features, we develop a classification technique to perform several stylometry tasks: author attribution, genre detection, ...

Mar 22, 2024 · Prior stylometric studies have shown that canonical drama authors are able to create memorable characters with distinguishable voices ( ...

The Word2vec Graph Model for Author Attribution and Genre Detection in Literary Analysis · Nafis Irtiza TriptoMohammed Eunus Ali. Computer Science, Linguistics.