Author Impression on Dependent Authors Using Wordtovector Method

Autor:	Maheshkumar B. Landge, Ramesh Ram Naik, C. Namrata Mahender
Rok vydání:	2019
Předmět:	business.industry Computer science sort Profiling (information science) Plagiarism detection Artificial intelligence business computer.software_genre computer Natural language processing Impression
Zdroj:	Communications in Computer and Information Science ISBN: 9789811391866 RTIP2R (3)
DOI:	10.1007/978-981-13-9187-3_61
Popis:	This paper provides an introduction to types of authorship analysis which is important in many applications of NLU, QA, Plagiarism detection etc. Author profiling helps to identify the traits of an author in the given text/texts, which finally leads to predict whether those traits are present in other text that reflects the important characteristics of the original author. The original author normally observed to have some sort of his impact or impression on dependent writers or authors The main focus of this paper is identifying the weight of impact of original author on dependent author. Word to vector technique is been used in this work to identify impact of original author on dependent authors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7955f6a2c43d4510510fd7e9374789db https://doi.org/10.1007/978-981-13-9187-3_61 Zobrazit plný text záznamu