A textual analytics based writting aid

Gašper Mlakar (2012) A textual analytics based writting aid. EngD thesis.

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Abstract

We examined the most common techniques for natural language processing and text mining. We built an application with writing aids on the basis of the text analysis. We embedded tools for the classification of texts based on the content and writing style. We used Naive Bayes classifier and its improved version AODE. We compared texts with cosine similarity of the vector text representation and used the similarity for clustering. We used a few reference text corpora and built a simple tool for their viewing and editing. We built a few utilities based on dictionaries and synonyms, e.g; a simple spelling checker.

Item Type:

Thesis (EngD thesis)

Keywords:

natural language processing, text mining, classification, Naive Bayes classifier, AODE, cosine similarity, clustering, text corpus

Number of Pages:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Marko Robnik Šikonja	276	Mentor

Link to COBISS:

http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=00009487444)

Institution:

University of Ljubljana

Department:

Faculty of Computer and Information Science

Item ID:

1823

Date Deposited:

19 Sep 2012 17:24

Last Modified:

05 Nov 2012 14:30

URI:

http://eprints.fri.uni-lj.si/id/eprint/1823

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