def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._features = self._config_parser.eval(self.__class__.__name__, "feature_list")
self._targeted_fields = self._config_parser.eval(self.__class__.__name__, "targeted_fields")
self._aggregated_functions = self._config_parser.eval(self.__class__.__name__, "aggregated_functions")
nltk.download('vader_lexicon')
self._sentence_analyser = SentimentIntensityAnalyzer()
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._retweet_count = db.get_retweet_count()
self._retweets = pd.DataFrame(db.get_retweets().items(),
columns=['post_id', 'content'])
self._targeted_fields = self._config_parser.eval(
self.__class__.__name__, "targeted_fields")
self._author_dict = {}
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._measure_names = self._config_parser.eval(self.__class__.__name__, "measure_names")
self._aggregation_functions_names = self._config_parser.eval(self.__class__.__name__, "aggregation_functions")
self._graph_types = self._config_parser.eval(self.__class__.__name__, "graph_types")
self._property_node_field_names = self._config_parser.eval(self.__class__.__name__, "property_node_field_names")
self._anchor_authors_creator = AnchorAuthorsCreator(self._db)
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._targeted_fields = self._config_parser.eval(
self.__class__.__name__, "targeted_fields")
self._load_stop_words()
self._words = words.words()
self._author_id_texts_dict = {}
self._features = self._config_parser.eval(self.__class__.__name__,
"feature_list")
self._authors = []
self._multi_field_features = []
self._authors = self._db.get_author_guid_to_author_dict()
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
nltk.download('words')
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
nltk.download('universal_tagset')
self._targeted_fields = self._config_parser.eval(
self.__class__.__name__, "targeted_fields")
self._load_stop_words()
self._words = words.words()
self._author_id_texts_dict = {}
self._features = self._config_parser.eval(self.__class__.__name__,
"feature_list")
self._authors = []
self._multi_field_features = []
self._authors = self._db.get_author_guid_to_author_dict()
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._retweet_count = db.get_retweet_count()
self._retweets = pd.DataFrame(db.get_retweets().items(),
columns=['post_id', 'content'])
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._measure_names = self._config_parser.eval(self.__class__.__name__,
"measure_names")
self._aggregation_functions = self._config_parser.eval(
self.__class__.__name__, "aggregation_functions")
def __init__(self, db, **kwargs):
BaseFeatureGenerator.__init__(self, db, **kwargs)
self._sentence_analyser = SentimentIntensityAnalyzer()