Metadata-Version: 1.1
Name: topicnetwork
Version: 0.1.2
Summary: Topic modeling with text networks
Home-page: http://github.com/michal_pikusa/topic-network
Author: Michal Pikusa
Author-email: pikusa.michal@gmail.com
License: MIT
Description: # Topic Network - topic modeling with text networks
        
        This package builds a text network out of a list of strings, picks the most important words on the basis of betweenness centrality measure, and performs community detection to group the words into topic networks and return the groups. The methods used are language-agnostic, meaning that you can perform the topic modeling on any text in any language.
        The package uses NetworkX to build the network and perform the necessary calculations. 
        
        ## Usage
        
        To install the package, use::
        
        ```python
        pip install topicnetwork
        ```
        
        To find the topics, simply use::
        
        ```python
        import topicnetwork
        topics = topicnetwork.find_topics(list_of_strings)
        ```
        
        For best results, use a text without punctuation and stopwords, and words converted to lowercase. You can perform the cleaning on your English texts with:
        
        ```python
        text = topicnetwork.clean(list_of_strings)
        ```
        
        Package written and maintained by Michal Pikusa (pikusa.michal@gmail.com)
Keywords: topic network community detection
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Text Processing :: Linguistic
