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The weighter Python class was developed in order to weight tweets in relation to a pre-generated term list.
The term "list" means the list of recognized tribes published by the Secretary pursuant to section 5131 of this title.
Test_gt.py will generate an output that shows the basic effectiveness of the term list and weighting process in relationship to the 'Ground_Truth' text file.
Index_tweets.py takes the term list giving and evaluates all tweets that have been collected and stored prior to the program's running.
Fig. 3 Histogram of the test term list.
The training/development term list consists of 346 terms.
Fig. 2 Histogram of the training/development term list.
The test term list consists of 202 terms.
Table 4 Development and test term list characteristics for MAVIR and EPIC databases Term list dev test-MAVIR test-EPIC #IN-LANG terms (occ).
The current STD evaluation focused on searching a training/development term list in training/development speech data and searching a test term list in test speech data.
The evaluation consists of searching a training/development term list within training/development speech data and searching a test term list within test speech data.
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