Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
Articles 1 - 2 of 2
Full-Text Articles in Computational Linguistics
A Study On The Efficacy Of Sentiment Analysis In Author Attribution, Michael J. Schneider
A Study On The Efficacy Of Sentiment Analysis In Author Attribution, Michael J. Schneider
Electronic Theses and Dissertations
The field of authorship attribution seeks to characterize an author’s writing style well enough to determine whether he or she has written a text of interest. One subfield of authorship attribution, stylometry, seeks to find the necessary literary attributes to quantify an author’s writing style. The research presented here sought to determine the efficacy of sentiment analysis as a new stylometric feature, by comparing its performance in attributing authorship against the performance of traditional stylometric features. Experimentation, with a corpus of sci-fi texts, found sentiment analysis to have a much lower performance in assigning authorship than the traditional stylometric features.
Natural Language Processing For Foreign Language Learning, Jacob Kausler
Natural Language Processing For Foreign Language Learning, Jacob Kausler
Honors Theses
This research presents novel algorithms which generate sentences in a natural language, using natural language generation techniques. The purpose of the algorithms is to benefit foreign language learning. As far as we can tell, ours is the first such research being done in the field. In creating the algorithms, we also developed a piece of software to showcase the work and allow testing by users. The main algorithm begins by generating sentence models by using one of two methods, namely modeled sentence generation and semantic sentence generation. Each of these have benefits and drawbacks, which the user must take into …