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main.py
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main.py
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import nltk
from nltk.compat import raw_input
from genus.genus import Genus
from learning.input_classifier import InputClassifier
from learning.statement_classifier import StatementClassifier
if __name__ == "__main__":
genus = Genus()
input_classifier = InputClassifier()
input_classifier.train(questions_file='C:/Users/John/Development/Python/AI_Final_Project/data/input/questions.txt',
statements_file='C:/Users/John/Development/Python/AI_Final_Project/data/input/statements.txt')
input_classifier.print_accuracy()
input_classifier.print_important_features(5)
statement_classifier = StatementClassifier()
statement_classifier.train(
genus_direct_file='C:/Users/John/Development/Python/AI_Final_Project/data/statements/genus_direct.txt',
genus_direct_not_file='C:/Users/John/Development/Python/AI_Final_Project/data/statements/genus_direct_not.txt')
statement_classifier.print_accuracy()
statement_classifier.print_important_features(5)
for i in range(10):
print("Enter question or statement")
query = raw_input()
query = query.lower()
word_tokens = nltk.word_tokenize(query)
print("Your tagged query = {}".format(nltk.pos_tag(word_tokens)))
print("This query is a {}".format(input_classifier.classify_text(query)))
if input_classifier.classify_text(query) == 'question':
print("I can't answer questions yet")
continue
print("This type of query is {}".format(statement_classifier.classify_text(query)))
if statement_classifier.classify_text(query) == 'genus_direct_not':
print("I don't know how to handle not statements yet")
continue
print("Resulting genus:")
genus.append_animal(statement_classifier.get_node(query, statement_classifier.classify_text(query)))
genus.print()