Sökning: "Authorship attribution"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden Authorship attribution.
1. Stylometric Embeddings for Book Similarities
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Stylometry is the field of research aimed at defining features for quantifying writing style, and the most studied question in stylometry has been authorship attribution, where given a set of texts with known authorship, we are asked to determine the author of a new unseen document. In this study a number of lexical and syntactic stylometric feature sets were extracted for two datasets, a smaller one containing 27 books from 25 authors, and a larger one containing 11,063 books from 316 authors. LÄS MER
2. Artificial Intelligence and Copyright Law in a European context - A study on the protection of works produced by AI-systems
Master-uppsats, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenSammanfattning : This master thesis discusses current copyright rules and if there is presently a copyright protection for these types of works. There is a possibility to protect works that have been generated by AI’s. However, this is only possible if a human is using the AI as a ”tool”, in order to reach a certain end-goal. LÄS MER
3. Authorship classification using the Vector Space Model and kernel methods
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Authorship identification is the field of classifying a given text by its author based on the assumption that authors exhibit unique writing styles. This thesis investigates the semantic shortcomings of the vector space model by constructing a semantic kernel created from WordNet which is evaluated on the problem of authorship attribution. LÄS MER
4. Document Forensics Through Textual Analysis
Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : This project aims at giving a brief overview of the area of research called Authorship Analysis with main focus on Authorship Attribution and the existing methods. The second objective of this project is to test whether one of the main approaches in the field can be still be applied successfully to today's new ways of communicating. LÄS MER
5. Text to features for Swedish text
Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : In text mining, texts are usually transformed into numerical vectors or feature vectors, before they are given to a machine learning algorithm for text classification. In this project, a set of features for classifying tweets in Swedish was created. LÄS MER