cat_tracking=SoftwareCategory(name="datenschutzkonformes Tracking",short_description="Sammlung von Sensordaten/Logdaten oder Nutzungsdaten mit expliziter Einverständnis mittels Software auf dem Gerät.")
cat_tracking=SoftwareCategory(name="datenschutzkonformes Tracking",short_description="Sammlung von Sensordaten/Logdaten oder Nutzungsdaten mit expliziter Einverständnis mittels Software auf dem Gerät.")
cat_scraping=SoftwareCategory(name="Scraping",short_description="Tools im Zusammenhang mit Web-Scraping.")
cat_scraping=SoftwareCategory(name="Scraping",short_description="Tools im Zusammenhang mit Web-Scraping.")
cat_int=SoftwareCategory(name="Forschungsplattformen",short_description="Integrierte Forschungsumgebungen/Plattformen für sozialwissenschaftliche Forschung.")
cat_int=SoftwareCategory(name="Forschungsplattformen",short_description="Integrierte Forschungsumgebungen/Plattformen für sozialwissenschaftliche Forschung.")
short_description="The iLCM(LCM=Leipzig Corpus Miner) project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a ‘Software as a Service’ architecture (SaaS). The research environment addresses requirements for the quantitative evaluation of large amounts of qualitative data using text mining methods and requirements for the reproducibility of data-driven research designs in the social sciences.",
short_description="The iLCM(LCM=Leipzig Corpus Miner) project pursues the development of an integrated research environment for the analysis of structured and unstructured data in a ‘Software as a Service’ architecture (SaaS). The research environment addresses requirements for the quantitative evaluation of large amounts of qualitative data using text mining methods and requirements for the reproducibility of data-driven research designs in the social sciences.",
short_description="It includes a number of standard Computer-Aided Qualitative Data Analysis features. In addition it seamlessly integrates with R, which means that a) statistical analysis on the coding is possible, and b) functions for data manipulation and analysis can be easily extended by writing R functions. To some extent, RQDA and R make an integrated platform for both quantitative and qualitative data analysis.",
short_description="Text Analysis Markup System (TAMS) is both a system of marking documents for qualitative analysis and a series of tools for mining information based on that syntax.",
short_description="OpenNLP supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, language detection and coreference resolution.",
short_description="NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.",
short_description="Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.",
short_description=" spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. Independent research has confirmed that spaCy is the fastest in the world. If your application needs to process entire web dumps, spaCy is the library you want to be using.",
short_description="the eXtensible Text Analysis Suite(xtas) is a collection of natural language processing and text mining tools, brought together in a single software package with built-in distributed computing and support for the Elasticsearch document store.",
short_description="The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et al (2014) <doi:10.1111/ajps.12103> and Roberts et al (2016) <doi:10.1080/01621459.2016.1141684>.",