Data Management Technologies and Applications: 4th by Markus Helfert, Andreas Holzinger, Orlando Belo, Chiara

By Markus Helfert, Andreas Holzinger, Orlando Belo, Chiara Francalanci

This publication constitutes the completely refereed lawsuits of the Fourth overseas convention on info applied sciences and purposes, information 2015, held in Colmar, France, in July 2015.

The nine revised complete papers have been rigorously reviewed and chosen from 70 submissions. The papers care for the subsequent subject matters: databases, facts warehousing, info mining, facts administration, info safeguard, wisdom and knowledge platforms and applied sciences; complicated software of data.

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Extra info for Data Management Technologies and Applications: 4th International Conference, DATA 2015, Colmar, France, July 20-22, 2015, Revised Selected Papers

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3 Term Weighting Methods for Sentiment Analysis While the sentiment classification is structurally equivalent to canonical text categorization with review polarities in place of topics, many techniques have been specifically devised for this problem, mainly in order to find and value terms expressing positive or negative sentiment. Some research on this task is focused the term weighting issue, with both studies of existing solutions and proposals of new tailored schemes, mostly supervised. idf, which is obtained by computing the standard idf factor separately on positive- and negative-labeled documents and taking the difference between them [21].

The approach proposed in the paper is described in detail in the third section. The results of experimental testing of the proposed approach are given in the fourth section. The fifth section contains brief conclusions on the work done and presents a plan of further investigations. 2 Related Works The resent decade is characterized by the growth of interest to investigations devoted to automatic extraction of concept maps from collections of text materials. Among these studies, of high rank are the works based on the use of statistical techniques of processing a natural language.

34 A. Nugumanova et al. 1 Concepts Extraction The first step of our approach is extraction of domain key terms which can be used as concepts – basic elements of a concept map. e. division texts into words, lemmatization (reduction of words to normal forms) and removal of stop-words. As result of such preprocessing we obtain a list of unique words (terms) of the collection. After that we construct a term-document matrix the rows of which correspond to terms, columns – to documents and elements – to frequencies of using terms in documents.

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