Analysis Of The Article The Snitch System - amazonia.fiocruz.br

Analysis Of The Article The Snitch System - share your

The insurance industry, for a long time, has been driven by traditional business models. It continued its legacy business process and products for quite some time. But with the intervention of innovative technology, the insurance industry has witnessed positive outcomes. Advanced technologies and digital platforms are providing new means to measure, control, and track risks. This is why we tell you everything about the Samsung Logo: history and curiosity of one of the hi-tech giants that have achieved the most success in the world. Analysis Of The Article The Snitch System

Analysis Of The Article The Snitch System - you

TURF Analysis or Total Unduplicated Reach and Frequency Analysis, is a statistical research methodology that enables the assessment of potential of market research for a combination of products and services. It analysis the number of customers reached by a particular communication source and how often does that happen. With products and services being launched by organizations regularly and new markets being explored day in and day out, it becomes trivial to leave no stone unturned to make sure the products are well-received in new markets. TURF analysis is a powerful statistical analysis tool that can be used to get answers for these questions:. Initially used for analysis of media campaigns, TURF analysis has developed into being applied in various segments like product, line and distribution analysis.

Background: To recognize the authors of the texts by the use of statistical tools, one first needs to decide about the features to be used as author characteristics, and then extract these features from texts.

The features extracted from texts are mostly the counts of so called function words. Objectives: The data extracted are processed further to compress as a data with less number of features, such a way that the compressed data still has the power of effective discriminators.

In this case feature space has less dimensionality then the text itself. Once the analysis was complete, the first of the principal components is used to distinguish the books authored by a certain author. Results: The achieved results show that every author leaves a unique signature in written text that can be discovered by Analywis counts of short words per paragraph.

Access options

Conclusions: In this article we have demonstrated that based on analyzing counts of short words per paragraph authorship could be traced using principal component analysis. Methodology could be used for other purposes, like fraud detection in auditing. Znakovi Pored Puta, Svjetlost, Sarajevo.

Prokleta Avlija, Svjetlost, Sarajevo. Binongo, J. An application of multivariate analysis to authorship attribution", Chance, Vol. Bosch, R, Smith J.

Principal component analysis for authorship attribution

Burrows, J. Chaski, C. Authorship attribution in digital evidence investigations", International Journal of Digital Evidence, Vol. Fung, G. Hayes, J. Holmes, D.]