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