.. _fwflag_add_wn_pos:
==============
--add_wn_pos
==============
Switch
======

--add_wn_pos

Description
===========

Creates a WordNet concept feature table (each word mapped to its WordNet synsets, disambiguated by part-of-speech), based on an existing POS-tagged feature table.

Argument and Default Value
==========================

No argument. Boolean switch, default: ``False``. Requires the ``nltk`` WordNet corpus (``python -c "import nltk; nltk.download('wordnet')"``).

Details
=======

Passes whatever table is currently set via :doc:`fwflag_f` in as the POS table (built by :doc:`fwflag_add_pos_table`), and separately expects a default-scaled 1gram word table to already exist for group-frequency thresholding.

**Known issue — broken in SQLite mode.** Like :doc:`fwflag_add_wn_nopos`, ``FeatureExtractor.addWNPosFeat()`` checks the word table's existence via a raw ``mm.tableExists(...)`` call. Verified: fails with ``sqlite3.OperationalError: near "show": syntax error`` under a SQLite corpus.

Other Switches
==============

Required Switches:

* :doc:`fwflag_d`, :doc:`fwflag_c`, :doc:`fwflag_t`
* :doc:`fwflag_f` (a POS-tagged table from :doc:`fwflag_add_pos_table`)
* :doc:`fwflag_add_ngrams` (must be run first, to build the word table)

Example Commands
================

Requires MySQL — broken against SQLite, see Known issue above:

.. code-block:: bash

	dlatkInterface.py -d dla_tutorial -t msgs -c user_id --add_ngrams -n 1
	dlatkInterface.py -d dla_tutorial -t msgs -c user_id --add_pos_table
	dlatkInterface.py -d dla_tutorial -t msgs -c user_id -f 'feat$pos$msgs$user_id' --add_wn_pos