Metadata-Version: 1.2
Name: tmtoolkit
Version: 0.1.4
Summary: Text Mining and Topic Modeling Toolkit
Home-page: https://github.com/WZBSocialScienceCenter/tmtoolkit
Author: Markus Konrad
Author-email: markus.konrad@wzb.eu
License: Apache 2.0
Description-Content-Type: UNKNOWN
Description: tmtoolkit is a set of tools for text mining and topic modeling with Python. It contains
        functions for text preprocessing like lemmatization, stemming or POS tagging especially for English and German
        texts. Preprocessing is done in parallel by using all available processors on your machine. The topic modeling
        features include topic model evaluation metrics, allowing to calculate models with different parameters in parallel
        and comparing them (e.g. in order to find the best number of topics for a given set of documents). Topic models can
        be generated in parallel for different copora and/or parameter sets using the LDA implementations either from
        lda, scikit-learn or gensim.
Keywords: textmining textanalysis text mining analysis preprocessing topicmodeling topic modeling evaluation
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Utilities
Requires-Python: >=2.7
