Alceste, a software for the automatic analysis of textual data (open questions, literature, articles, etc.). Free and Open-Source Text Mining / Text Analytics Software. Aika, an open-source library for mining frequent patterns within text, using ideas from neural nets and grammar induction. Specialized in textual engineering for it was created, thanks to its software Alceste, Image ensures the processing of any types of textual data (surveys analysis, opened questions, interviews, meetings reports, political speeches, press magazines, etc) in several languages, gives you a detailed report and an analysis synthesis, and helps you with the counting process.
. Part of the book series (AISC, volume 861) Abstract This paper presents an original qualitative empirical approach in local management. It is indeed based on a textual analysis (using a French software, named ALCESTE) of financial reports of two major banks of the French local sector: Dexia CL, as the market leader until 2011 and AFL, as the new entrant into the market in 2013. This research reveals public values contained in their both communications and proposes a measurement of their publicness (that is to say the importance of political constraint compared to economic constraint, weighing on the organization). The textual analysis shows vocabulary used and significant contents. First results are somewhat surprising: AFL, the bank for and made by local authorities, presents no more political constraints or more public values, despite the nature of its shareholding and its objective of general interest. A compared literature on companies per share and on cooperative banks could be used to explain the future funding sector of local governments in France.
Cite this paper as: Michel-Clupot M., Rouot S. (2019) Contribution of Textual Analysis by ALCESTE Software to Determine Dimensional Publicness and Public Values: An Application on Two Banks of the French Local Authorities. In: Costa A., Reis L., Moreira A.
(eds) Computer Supported Qualitative Research. Advances in Intelligent Systems and Computing, vol 861. Springer, Cham. First Online 27 September 2018. DOI.
Publisher Name Springer, Cham. Print ISBN 978-3-030-01405-6. Online ISBN 978-3-030-01406-3. eBook Packages.
Abstract Objective: The development of advanced methods based on progress in data analysis and computer technology has led to a better understanding of the structure of discourse and the abnormalities occurring in the syntax and semantics of psychotic subjects'speech patterns. In the present study, discourse analysis was performed on the language produced by a hebephrenic patient, which was collected during a period of several months. Method: The method used here involves the use of the Alceste software program to model the main patterns of word distribution occurring in a corpus, with a view to identifying the repetitive language patterns most frequently used by the speaker. Results and Conclusion:: Hebephrenic subject produced specific speech without any semantic or syntactic impairments and language communication disturbances but with a poverty of content of speech, however. He used very simple, linear forms of speech (metonymic speech) without any digressions, metaphors, imaginary ideas. He seemed to be completely engrossed in the present reality, possibly due to some lack of imaginary or symbolic representative ability. Analysis of the underlying syntactic processes showed that the patient seemed to exhibit a minimum sense of identity based on his own pathology and the world organized around it.
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This study also shows how greatly verbal behaviour differs between schizophrenic patients with prominent positive versus negative symptoms.