Metadata-Version: 2.0
Name: textbot
Version: 0.1.0
Summary: Read a column of strings from csv, parse wordnet pos_tags to lemmas, enumerate most_common lemmas, weight strings via top scoring lemmas
Home-page: http://github.com/3pin/textbot
Author: 3pin
Author-email: 3pin.audiovisual@gmail.com
License: LICENSE.txt
Keywords: NLP,IE,wordnet,nltk
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: General
Requires-Python: >=3
Requires-Dist: UnicodeDammit
Requires-Dist: bs4
Requires-Dist: collections
Requires-Dist: json
Requires-Dist: nltk
Requires-Dist: operator
Requires-Dist: pandas
Requires-Dist: re
Requires-Dist: string
Requires-Dist: tkinter.filedialog
Requires-Dist: tkinter.simpledialog

This python package prevalent trends from a large list of short statements.
Operation:
    Read a column as an array of strings from csv file,
    Give them their pos-tag via the PENN treebank
    Convert to wordnet post-tags and keep only: ADJ / VERB / NOUN / ADV
        Option for user to save this lemmas-array back to csv file
    Enumerate most_common lemmas
    Weight each string in the array according to the most-common lemmas it contains
        Option for user to save this weight-array back to the csv file


