Corpora from the Wortschatz-Portal can now be easily integrated and used within the LCM. Brief Summary In order to integrate corpora from the Wortschatz-Portal into the tool, the corresponding corpora file must first be downloaded from the portal. This can then be uploaded to the iLCM and automatically transformed into a standard CSV file for import. On the Wortschatz webpage, data is available in a variety of languages, sizes and data-sources. ...
Application of the iLCM to detect Gender Differences in research grant proposals
Brief Summary Research persistently shows that women are underrepresented in most science and engineering fields and obtain fewer research grants than men. In this paper we consider gender-related interests to investigate female and male scientists’ rates of submitted grant proposals and their selection of research topics in research areas of life science, engineering science, physical science and mathematics. Do men and women differ in their research preferences? Do they vary in respect of numbers of submissions and topics? ...
Dynamic Topic Modeling added to iLCM
Dynamic Topic Modeling was added to iLCM as another form of analysis. Brief Summary Classical topic models allow to discover unsupervised topics in document collections and to examine these topics and their distribution within the texts. Dynamic Topic Models (DTM) extended this approach by an additional temporal component. Thus, the changes of topics at different time periods can now be modeled and examined in detail. Especially for large diachronic data sets, this approach represents an exciting extension. ...
Import of XLSX Files
A new data format is now supported to import data: XLSX Brief Summary Besides the known input formats CSV, REFI and various text files, the latest version of the iLCM can now also import data in XLSX format. This allows to easily save Excel projects and seamlessly explore them further in iLCM using text mining. ...
GESIS Notebooks @JupyterCon
Arnim Bleier gave a talk at JupyterCon about GESIS Notebooks: Brief Summary In this talk, we introduce GESIS Notebooks, a public JupyterHub deployment that enables users to persistently import projects using the mechanisms of MyBinder. The talk is relevant for researchers and lecturers that want to work persistently with one of the many existing binder-ready projects as well as for system administrators. Outline Kenan Erdogan and Arnim Bleier offer an overview of GESIS Notebooks notebooks. ...
Reproducibility Made Easy
The GESIS notebooks enable scientists to reproduce highly complex research processes with little effort and the greatest possible support. In a web-based interactive working environment, complex computing processes can be performed virtually without having to maintain a powerful and expensive hardware infrastructure. This makes the reproducibility of research much easier; thus the “GESIS notebooks” support compliance with the code of good scientific practice. More Details: https://blog.gesis.org/reproduzierbarkeit-leicht-gemacht-gesis-notebooks-fur-eine-offene-wissenschaft/ ...
Latest Version enables REFI Import/Export
Version 0.996 adds REFI Import and Export The latest release of the iLCM now supports the export of collections, topic model- and classification results in REFI standard. Moreover the export of annotation schema is enabled. In addition the import of codebooks in REFI standard aswell as whole REFI projects is possible. ...
Saving and application of parameter presets now available
Parameter Presets The creation of parameter preconfigurations (presets) is now supported for each implemented analysis via the Task Scheduler. These preconfigurations can then be selected and applied when analyses are performed repeatedly. All available parameters are then set according to their settings in the preset. This simplifies the handling and ensures comparable parameter settings for repeated analyses as well as for the exchange of optimal settings in collaborative projects. This feature is part of the ilcm_standalone release in version 0. ...
GESIS Joins Binder Federation
GESIS Joins Binder Federation Our Project Partner GESIS joins the Binder Federation. Read more at: https://blog.jupyter.org/gesis-joins-the-binder-federation-8603d878ff77 ...