Misclassifications: The missing link
Autor: | Vinod Pathari, Aparna Jairaj Nair, Abitha Thankaraj, N. Vasudevan |
---|---|
Rok vydání: | 2017 |
Předmět: |
business.industry
Computer science 05 social sciences 050905 science studies computer.software_genre Electronic mail Domain (software engineering) Style (sociolinguistics) Writing style Similarity (psychology) Stylometry Artificial intelligence 0509 other social sciences 050904 information & library sciences business computer Natural language processing |
Zdroj: | ICACCI |
DOI: | 10.1109/icacci.2017.8126091 |
Popis: | The notion of style is pivotal to literature. The choice of a certain writing style moulds and enhances the overall character of a book. Stylometry uses statistical methods to analyze literary style. This work aims to build a recommendation system based on the similarity in stylometric cues of various authors. The problem at hand is in close proximity to the author attribution problem. It follows a supervised approach with an initial corpus of books labelled with their respective authors as training set and generate recommendations based on the misclassified books. Results in book similarity are substantiated by domain experts. |
Databáze: | OpenAIRE |
Externí odkaz: |