def _classify(self):
classifier = Classifier(self.preprocessed_contents,
max_pages=self.max_pages,
webpage_title=self._website.get_title())
classifier.classify()
self.webpage_topic_is_plural = classifier.is_webpage_topic_plural()
if __name__ == "__main__":
file_handler = FileHandler()
configuration_provider = ConfigurationProvider(configuration_file)
tree_browser = HTMLTreeBrowser()
specification_registry = SpecificationRegistry(configuration_provider, tree_browser)
content_downloader = WebPageContentDownloader()
tree_builder = HTMLTreeBuilder()
configuration_generator = ConfigurationGenerator(configuration_provider,
specification_registry,
content_downloader,
tree_builder)
url_map = file_handler.get_url_map(configuration_provider.get_classified_input_file_name())
configuration_generator.generate_configuration(url_map)
url_map_to_classify = file_handler.get_url_map(configuration_provider.get_unclassified_input_file_name())
classifier = Classifier(configuration_provider, specification_registry, content_downloader, tree_builder)
classification = classifier.classify(url_map_to_classify.keys())
file_handler.write_classification(configuration_provider.get_output_file_name(), classification)
SummaryPrinter().print_summary(classification, url_map_to_classify)
from classification.classifier import Classifier
from classification.text_processor import TextProcessor
from preprocess.stemmer import Stemmer
from preprocess.tokenizer import Tokenizer
text_processor = TextProcessor(Stemmer(), Tokenizer())
classifier = Classifier(text_processor)
while True:
user_input = input()
print(classifier.classify(user_input))