Information retrieval systems are built to handle texts as topical items: texts are tabulated by occurrence frequencies of content words in them, under the assumption that text topic is reasonably well modeled by content word occurrence. But texts have several interesting characteristics beyond topic. The experiments described in this text investigate stylistic variation. Roughly put, style is the difference between two ways of saying the same thing -- and systematic stylistic variation can be used to characterize the genre of documents. These experiments investigate if stylistic information is distinguishable using simple language engineering methods, and if in that case this type of information can be used to improve information retrieval systems.

This paper presents experimental results of usage of LSA for analysis of English literature texts. Several preliminary transformations of the frequency text-document matrix with different weight functions are tested on the basis of control subsets. Additional clustering based on correlation matrix is applied in order to reveal the latent structure. The algorithm creates a shaded form matrix via singular values and vectors. The results are interpreted as a quality of the transformations and compared to the control set tests. 1.

The paper presents the results of experiments of usage of LSA for analysis of textual data. The method is explained in brief and special attention is pointed on its potential for comparison and investigation of German literature texts. Two hypotheses are tested: 1) the texts by the same author are alike and can be distinguished from the ones by different person; 2) the prose and poetry can be automatically discovered.

ing and Summarization : : : : : : : : : : : : : : : : : : : 19 1.4.8 How textuality could be utilized better : : : : : : : : : : : : : : : 19 1.5 Requests and queries: Dialog : : : : : : : : : : : : : : : : : : : : : : : : : 20 1.5.1 Boolean and probablistic approaches : : : : : : : : : : : : : : : : 20 1.6 Information Access Processes: Texts more than are : : : : : : : : : : : : 21 1.6.1 Typical query processing : : : : : : : : : : : : : : : : : : : : : : : 21 1.6.2 Beyond single queries : : : : : : : : : : : : : : : : : : : : : : : : : 1.6.3 Query expansion : : : : : : : : : : : : : : : : : : : : : : : : : : : 22 1.6.4 Relevance Feedback : : : : : : : : : : : : : : : : : : : : : : : : : : 23 1.6.5 Other qualities of text : : : : : : : : : : : : : : : : : : : : : : : : 23 1.7 Texts are sometimes written in other languages than English : : : : : : : 23 1.8 The contribution to linguistics : : : : : : : : : : : : : : : : : : : : : : : : 24 1.9 Conclusions: open research questions : : :...