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config.ini
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[DEFAULT]
logger_name = root
Logger_conf_file = logging.conf
start_date = date('2015-06-07 00:00:00')
end_date = date('2015-06-14 23:59:59')
step_size_in_sec = 691200
window_analyze_size_in_sec = 691200
keep_results_for = 2246400
max_concurrent_jobs = 1
domain=Article
targeted_classes = ['author_type']
social_network_name = Clickbait_Challenge
social_network_url = "https://Clickbait_Challenge.com/"
[Logger]
logger_conf_file = logging.conf
logger_name = root
file_name = logging.conf
level = logging.INFO
[OperatingSystem]
linux=False
windows=True
[DB]
DB_path = data/input/
DB_name_prefix = bad_actors_
DB_name_suffix = .db
DB_path_to_extension = lib/extension-functions
dialect_name = sqlalchemy.dialects.sqlite
remove_on_setup = False
remove_on_teardown = False
dropall_on_setup = False
dropall_on_teardown = False
######################################################################################################
# Impotera
######################################################################################################
[Clickbait_Challenge_Importer]
actions = ["read_from_files"]
json_path = "data/input/Clickbait_Challenge/sets/training_validation_set/clickbait17-train-170331/"
;#json_path = "data/input/Clickbait_Challenge/sets/training_validation_set2/clickbait17-validation-170630/"
records_file_name = "instances.jsonl"
truth_file_name = "truth.jsonl"
;#truth_file_name = None
dataset_type = None
;#dataset_type = 'training'
[CsvImporter]
data_folder = "data/input/datasets/"
# ************** DATASET BUILDER MODULE **********************
[DatasetBuilderConfig]
clean_authors_features_table = False
[Image_Tags_Extractor]
auth_key = 'dcc38fa5b0d14b169118964ec17fec6f'
model_id = 'aaa03c23b3724a16a56b629203edc62c'
dataset_folder = "data/input/Clickbait_Challenge/sets/training_validation_set/clickbait17-train-170331/"
;#dataset_folder = "data/input/Clickbait_Challenge/sets/training_validation_set2/clickbait17-validation-170630/"
max_objects_without_saving = 100000
max_request_to_service = 50
min_value_proba = 0.85
[Preprocessor]
remove_stopwords = True
apply_stemming = True
stopwords_file = data/english_stopwords.txt
stemming_language = en
is_preprocess_posts = True
is_preprocess_authors = False
max_objects_without_saving = 100000
[Word_Embedding_Model_Creator]
is_load_wikipedia_300d_glove_model = True
wikipedia_model_file_path = "data/input/glove/glove.6B.300d.txt"
table_name = "wikipedia_model_300d"
targeted_fields_for_embedding = [
{"table_name": "posts", "id_field": "post_id", "targeted_field_name": "content",
"where_clauses": [{"field_name":1, "value": 1}]},
{"table_name": "target_article_items", "id_field": "post_id", "targeted_field_name": "content",
"where_clauses": [{"field_name":"type", "value": "'paragraph'"}]}
]
; ,
; {"table_name": "target_article_items", "id_field": "post_id", "targeted_field_name": "content",
; "where_clauses ": [{"field_name":"type", "value": "'paragraph'"}]},
; {"table_name": "target_article_items", "id_field": "post_id", "targeted_field_name": "content",
; "where_clauses ": [{"field_name":"type", "value": "'caption'"}]
;
; ]
aggregation_functions_names = ['np.mean', 'min', 'max']
[OCR_Extractor]
#images_folder = "data/input/Important_datasets/Clickbait_Challenge/sets/training_validation_set/raw/clickbait17-validation-170616/media/"
images_folder = "data/input/Clickbait_Challenge/sets/train_set/clickbait17-train-170331/media/"
;images_folder = "data/input/Important_datasets/Clickbait_Challenge/sets/unlabeled/raw/clickbait17-unlabeled-170429/media/"
#images_folder = "data/input/Important_datasets/Clickbait_Challenge/sets/train_set/clickbait17-train-170331/media/"
#images_folder = "data/input/Important_datasets/Clickbait_Challenge/sets/training_validation_set2/clickbait17-validation-170630/media/"
[FeatureExtractor]
############################################################################
######################## FEATURE EXTRACTOR MODULES #########################
############################################################################
[OCR_Feature_Generator]
feature_list = ["is_post_contain_image", "is_image_contain_text"]
[AccountPropertiesFeatureGenerator]
feature_list = ["account_age", "author_screen_name", "author_type"]
[Word_Embeddings_Feature_Generator]
targeted_author_word_embeddings = [{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "np.mean"},
{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "max"},
{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "min"}]
[Sentiment_Feature_Generator]
feature_list = ["authors_posts_semantic_average_compound",
"authors_posts_semantic_average_neutral",
"authors_posts_semantic_average_negative",
"authors_posts_semantic_average_positive"
]
[Text_Anlalyser_Feature_Generator]
targeted_fields = [{"table_name": "posts", "id_field": "post_id", "targeted_field_name": "content", "where_clauses": [{"field_name":1, "value": 1}]},
{"table_name": "target_articles", "id_field": "post_id", "targeted_field_name": "title", "where_clauses": [{"field_name":1, "value": 1}]},
{"table_name": "target_articles", "id_field": "post_id", "targeted_field_name": "description", "where_clauses": [{"field_name":1, "value": 1}]}
]
feature_list = [
"num_of_chars_on_avg",
"num_of_verbse_on_avarage",
"num_of_adjectives_on_avg",
"num_of_nouns_on_avg",
"num_of_quotations_on_avg",
"num_of_uppercase_words_in_post_on_avg",
"number_of_precent_of_uppercased_posts",
"num_of_formal_words_on_avg",
"num_of_informal_words_on_avg",
"precent_of_formal_words_on_avg",
"num_of_question_marks_on_avg",
"num_of_colons_on_avg",
"num_of_comas_on_avg",
"num_of_retweets_on_avg",
"num_of_ellipsis_on_avg",
"num_of_stop_words_on_avg",
"precent_of_stop_words_on_avg"
]
;bellow - will run function on features from feature-list gotten by targeted fields
multi_feature_target_fields = [
({"table_name": "target_article_items", "id_field": "post_id", "targeted_field_name": "content", "where_clauses": [{"field_name":"type", "value": "'caption'"}]}, {"table_name": "posts", "id_field": "post_id", "targeted_field_name": "title", "where_clauses": [{"field_name":1, "value": 1}]}),
({"table_name": "posts", "id_field": "post_id", "targeted_field_name": "content", "where_clauses": [{"field_name":1, "value": 1}]}, {"table_name": "posts", "id_field": "post_id", "targeted_field_name": "title", "where_clauses": [{"field_name":1, "value": 1}]}),
]
multi_feature_feature_list = ["num_of_characters",
"num_of_verbse",
"num_of_nouns",
"num_of_adj",
"num_of_quotations",
"num_of_uppercase_words",
"num_of_foraml_words",
"num_of_informal_words",
"num_of_stopwords"]
multi_feature_function_names = ["diffarence", "ratio"]
[Clickbait_Feature_Generator]
feature_list = [
"num_of_characters_in_post_title",
"num_of_characters_in_article_title",
"num_of_characters_in_article_description",
"average_num_of_characters_in_article_keywords",
"average_num_of_characters_in_article_captions",
"average_num_of_characters_in_article_paragraphs",
"num_of_characters_in_post_image_text",
"diff_num_of_characters_post_title_and_article_title",
"diff_num_of_characters_post_title_and_article_description",
"diff_num_of_characters_post_title_and_article_keywords",
"diff_num_of_characters_post_title_and_article_captions",
"diff_num_of_characters_post_title_and_article_paragraphs",
"diff_num_of_characters_post_title_and_post_image_text",
"diff_num_of_characters_article_title_and_article_description",
"diff_num_of_characters_article_title_and_article_keywords",
"diff_num_of_characters_article_title_and_article_captions",
"diff_num_of_characters_article_title_and_article_paragraphs",
"diff_num_of_characters_article_title_and_post_image_text",
"diff_num_of_characters_article_description_and_article_keywords",
"diff_num_of_characters_article_description_and_article_captions",
"diff_num_of_characters_article_description_and_article_paragraphs",
"diff_num_of_characters_article_description_and_post_image_text",
"diff_num_of_characters_article_keywords_and_article_captions",
"diff_num_of_characters_article_keywords_and_article_paragraphs",
"diff_num_of_characters_article_keywords_and_post_image_text",
"diff_num_of_characters_article_captions_and_article_paragraphs",
"diff_num_of_characters_article_captions_and_post_image_text",
"diff_num_of_characters_article_paragraphs_and_post_image_text",
"num_of_characters_ratio_article_title_and_post_title",
"num_of_characters_ratio_article_description_and_post_title",
"num_of_characters_ratio_article_keywords_and_post_title",
"num_of_characters_ratio_article_captions_and_post_title",
"num_of_characters_ratio_article_paragraphs_post_title",
"num_of_characters_ratio_post_image_text_and_post_title",
"num_of_characters_ratio_article_description_and_article_title",
"num_of_characters_ratio_article_keywords_and_article_title",
"num_of_characters_ratio_article_captions_and_article_title",
"num_of_characters_ratio_article_paragraphs_and_article_title",
"num_of_characters_ratio_post_image_text_and_article_title",
"num_of_characters_ratio_article_keywords_and_article_description",
"num_of_characters_ratio_article_captions_and_article_description",
"num_of_characters_ratio_article_paragraphs_and_article_description",
"num_of_characters_ratio_post_image_text_and_article_description",
"num_of_characters_ratio_article_captions_and_article_keywords",
"num_of_characters_ratio_article_paragraphs_and_article_keywords",
"num_of_characters_ratio_post_image_text_and_article_keywords",
"num_of_characters_ratio_article_paragraphs_and_article_captions",
"num_of_characters_ratio_post_image_text_and_article_captions",
"num_of_characters_ratio_post_image_text_and_article_paragraphs",
"num_of_words_in_post_title",
"num_of_words_in_article_title",
"num_of_words_in_article_description",
"average_num_of_words_in_article_keywords",
"average_num_of_words_in_article_captions",
"average_num_of_words_in_article_paragraphs","num_of_words_in_post_image_text",
"diff_num_of_words_post_title_and_article_title",
"diff_num_of_words_post_title_and_article_description",
"diff_num_of_words_post_title_and_article_keywords",
"diff_num_of_words_post_title_and_article_captions",
"diff_num_of_words_post_title_and_article_paragraphs",
"diff_num_of_words_post_title_and_post_image_text",
"diff_num_of_words_article_title_and_article_description",
"diff_num_of_words_article_title_and_article_keywords",
"diff_num_of_words_article_title_and_article_captions",
"diff_num_of_words_article_title_and_article_paragraphs",
"diff_num_of_words_article_title_and_post_image_text",
"diff_num_of_words_article_description_and_article_keywords",
"diff_num_of_words_article_description_and_article_captions",
"diff_num_of_words_article_description_and_article_paragraphs",
"diff_num_of_words_article_description_and_post_image_text",
"diff_num_of_words_article_keywords_and_article_captions",
"diff_num_of_words_article_keywords_and_article_paragraphs",
"diff_num_of_words_article_keywords_and_post_image_text",
"diff_num_of_words_article_captions_and_article_paragraphs",
"diff_num_of_words_article_captions_and_post_image_text",
"diff_num_of_words_article_paragraphs_and_post_image_text",
"num_of_words_ratio_article_title_and_post_title",
"num_of_words_ratio_article_description_and_post_title",
"num_of_words_ratio_article_keywords_and_post_title",
"num_of_words_ratio_article_captions_and_post_title",
"num_of_words_ratio_article_paragraphs_post_title",
"num_of_words_ratio_post_image_text_and_post_title",
"num_of_words_ratio_article_description_and_article_title",
"num_of_words_ratio_article_keywords_and_article_title",
"num_of_words_ratio_article_captions_and_article_title",
"num_of_words_ratio_article_paragraphs_and_article_title",
"num_of_words_ratio_post_image_text_and_article_title",
"num_of_words_ratio_article_keywords_and_article_description",
"num_of_words_ratio_article_captions_and_article_description",
"num_of_words_ratio_article_paragraphs_and_article_description",
"num_of_words_ratio_post_image_text_and_article_description",
"num_of_words_ratio_article_captions_and_article_keywords",
"num_of_words_ratio_article_paragraphs_and_article_keywords",
"num_of_words_ratio_post_image_text_and_article_keywords",
"num_of_words_ratio_article_paragraphs_and_article_captions",
"num_of_words_ratio_post_image_text_and_article_captions",
"num_of_words_ratio_post_image_text_and_article_paragraphs",
"num_of_article_keywords_exist_in_post_title",
"num_of_article_keywords_exist_in_article_title",
"num_of_article_keywords_exist_in_article_description",
"num_of_article_keywords_exist_in_article_captions",
"num_of_article_keywords_exist_in_article_paragraphs",
"post_creation_hour",
"num_of_article_paragraphs",
"num_of_article_captions",
"num_of_article_keywords",
"num_of_at_signs_in_post_title",
"num_of_at_signs_in_article_title",
"num_of_at_signs_in_article_captions",
"num_of_at_signs_in_article_paragraphs",
"num_of_number_signs_in_post_title",
"num_of_number_signs_in_article_title",
"num_of_number_signs_in_article_description",
"num_of_number_signs_in_article_captions",
"num_of_number_signs_in_article_paragraphs",
"num_of_question_marks_in_post_title",
"num_of_question_marks_in_article_title",
"num_of_question_marks_in_article_description",
"num_of_question_marks_in_article_captions",
"num_of_question_marks_in_article_paragraphs",
"num_of_colon_signs_in_post_title",
"num_of_colon_signs_in_article_title",
"num_of_colon_signs_in_article_description",
"num_of_colon_signs_in_article_captions",
"num_of_colon_signs_in_article_paragraphs",
"num_of_retweet_signs_in_post_title",
"num_of_retweet_signs_in_article_title",
"num_of_retweet_signs_in_article_description",
"num_of_retweet_signs_in_article_captions",
"num_of_retweet_signs_in_article_paragraphs",
"num_of_commas_in_post_title",
"num_of_commas_in_article_title",
"num_of_commas_in_article_description",
"num_of_commas_in_article_captions",
"num_of_commas_in_article_pargaraphs",
"num_of_ellipsis_in_post_title",
"num_of_ellipsis_in_article_title",
"num_of_ellipsis_in_article_description",
"num_of_ellipsis_in_article_captions",
"num_of_ellipsis_in_article_pargaraphs",
"num_of_formal_words_in_post_title",
"num_of_formal_words_in_article_title",
"num_of_formal_words_in_article_description",
"num_of_formal_words_in_article_keywords",
"num_of_formal_words_in_article_captions",
"num_of_formal_words_in_article_paragraphs",
"num_of_formal_words_in_post_image_text",
"num_of_informal_words_in_post_title",
"num_of_informal_words_in_article_title",
"num_of_informal_words_in_article_description",
"num_of_informal_words_in_article_keywords",
"num_of_informal_words_in_article_captions",
"num_of_informal_words_in_article_paragraphs",
"num_of_informal_words_in_post_image_text",
"percent_of_formal_words_in_post_title",
"percent_of_formal_words_in_article_title",
"percent_of_formal_words_in_article_description",
"percent_of_formal_words_in_article_keywords",
"percent_of_formal_words_in_post_image_text",
"percent_of_informal_words_in_post_title",
"percent_of_informal_words_in_article_title",
"percent_of_informal_words_in_article_description",
"percent_of_informal_words_in_article_keywords",
"percent_of_informal_words_in_post_image_text",
"number_of_uppercase_words_in_post_title",
"number_of_uppercase_words_in_article_title",
"number_of_uppercase_words_in_article_description",
"number_of_uppercase_words_in_article_captions",
"number_of_uppercase_words_in_article_paragraphs",
"number_of_uppercase_words_in_article_keywords",
"number_of_uppercase_image_words",
"are_all_post_title_words_uppercase",
"are_all_article_title_words_uppercase",
"are_all_article_keywords_uppercase",
"are_all_article_captions_uppercase",
"are_all_article_paragraph_uppercase",
"are_all_article_image_text_uppercase",
"num_of_nouns_in_post_title",
"num_of_nouns_in_article_title",
"num_of_nouns_in_article_description",
"num_of_nouns_in_article_description",
"num_of_nouns_in_article_captions",
"num_of_nouns_in_article_paragraphs",
"num_of_nouns_in_article_keywords",
"num_of_nouns_in_article_image",
"num_of_verbs_in_post_title",
"num_of_verbs_in_article_title",
"num_of_verbs_in_article_description",
"num_of_verbs_in_article_description",
"num_of_verbs_in_article_captions",
"num_of_verbs_in_article_paragraphs",
"num_of_verbs_in_article_keywords",
"num_of_verbs_in_article_image",
"num_of_adjs_in_post_title",
"num_of_adjs_in_article_title",
"num_of_adjs_in_article_description",
"num_of_adjs_in_article_description",
"num_of_adjs_in_article_captions",
"num_of_adjs_in_article_paragraphs",
"num_of_adjs_in_article_keywords",
"num_of_adjs_in_article_image",
"num_of_stopwords_in_post_title",
"num_of_stopwords_in_article_title",
"num_of_stopwords_in_article_description",
"num_of_stopwords_in_article_captions",
"num_of_stopwords_in_article_keywords",
"num_of_stopwords_in_article_paragraphs",
"num_of_stopwords_in_image_text",
"num_of_stopwords_in_post_title",
"num_of_stopwords_in_article_title",
"num_of_stopwords_in_article_description",
"num_of_stopwords_in_article_captions",
"num_of_stopwords_in_article_keywords",
"num_of_stopwords_in_article_paragraphs",
"num_of_stopwords_in_image_text",
"contains_quotation_post_title",
"contains_quotation_article_title",
"contains_quotation_article_description",
"contains_quotation_article_captions",
"contains_quotation_article_keywords",
"contains_quotation_article_paragraph",
"contains_quotation_post_image"
]
[Image_Tags_Feature_Generator]
actions = ['ordinal']
representation_method = 'hashing'
representation_method = 'ordinal'
representation_method = 'dummy'
feature_hasher_dimensions = 400
[Word_Embeddings_Comparison_Feature_Generator]
connection_types = [({"table_name": "posts", "targeted_field_name": "content",
"word_embedding_type": "max"},{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "np.mean"}),
({"table_name": "posts", "targeted_field_name": "content",
"word_embedding_type": "min"},{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "max"})]
connection_type = word_embedding
#similarity_functions = ["subtruct_and_split"] will subtruct the two fields and than split each dimension to a feature
similarity_functions = ["euclidean_distance", "cosine_similarity", "minkowski_distance", "manhattan_distance", "jaccard_index", "subtruct_and_split"]
[Word_Embeddings_Feature_Generator]
targeted_author_word_embeddings = [{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "np.mean"},
{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "max"},
{"table_name": "posts", "targeted_field_name": "content", "word_embedding_type": "min"}]
# **************** END FEATURE EXTRACTOR MODULES ******************************
[DataFrameCreator]
all_authors = True
normalize = False
[DataExporter]
#arff_file = 'data/output/clickbait_challenge_validation_training_set2.arff'
arff_file = 'data/output/clickbait_small_training_set.arff'
#author_type_classes = ["bad_actor", "good_actor"]
author_type_classes = ["clickbait", "no-clickbait"]
[Clickbait_Challenge_Evaluator]
targeted_class_dict = {"no-clickbait" : 0, "clickbait": 1}
targeted_class_field_names = ["author_type"]
classifier_type_names = ["RandomForest", "DecisionTree", "AdaBoost", "XGBoost"]
num_of_features = [5,10,20,'all']
#num_of_features = [1,2,3,4,5,6,7,8, 'all']
indentifier_field_name = author_screen_name
feature_names_to_remove = ["author_guid", "author_sub_type", "author_screen_name", "set_affiliation"]
replace_missing_values = zero
selected_features = []
order_of_results_dictionary = ['targeted_class_field_names', 'classifier_type_names', 'num_of_features']
results_file_name = clickbait_challenge_small_training_set_results_results.txt
results_table_file_name = clickbait_challenge_small_training_set_results_table.csv
path = data/output/expermintal_environment/
column_names_for_results_table = ["Targeted_class", "Selected_classifier", "Num_of_features", "Correctly_classified", "Incorrectly_classified", "Total", "AUC", "Accuracy", "Precision", "Recall"]
full_path_model_directory = data/output/expermintal_environment/trained_classifiers/
#DIVIDE TRAINING AND TEST SET BY FIELD NAME
is_divide_to_training_and_test_sets_by_field_name_then_train_and_evaluate = False
field_name_for_dividing_between_training_and_test_sets = set_affiliation
#DIVIDE TRAINING AND TEST SET BY k-fold-cross-validation
is_divide_to_training_and_test_sets_by_k_fold_cross_validation_then_train_and_evaluate = True
k_for_fold = 10
[Predictor]
trained_classifier_file_name = 'trained_classifier_author_type_AdaBoost_10_features.pkl'
best_features_file_name = 'trained_classifier_author_type_AdaBoost_10_selected_features.pkl'
full_path_trained_classifier_directory = 'data/output/expermintal_environment/trained_classifiers/'
path = 'data/output/expermintal_environment/'
targeted_class_field_names = ['author_type']
replace_missing_values = 'zero'
indentifier_field_name = 'author_screen_name'
feature_names_to_remove = ["author_guid", "author_sub_type", "author_screen_name", "set_affiliation"]
selected_features = []
targeted_class_dict = {"no-clickbait" : 0, "clickbait": 1}
classifier_type_name = 'AdaBoost'
num_of_features = 10
[Clickbait_Challenge_Predictor]
trained_classifier_file_name = 'trained_classifier_author_type_AdaBoost_10_features.pkl'
best_features_file_name = 'trained_classifier_author_type_AdaBoost_10_selected_features.pkl'
full_path_trained_classifier_directory = 'data/output/expermintal_environment/trained_classifiers/'
path = 'data/output/expermintal_environment/'
targeted_class_field_names = ['author_type']
replace_missing_values = 'zero'
indentifier_field_name = 'author_screen_name'
feature_names_to_remove = ["author_guid", "author_sub_type", "author_screen_name", "set_affiliation"]
selected_features = []
targeted_class_dict = {"no-clickbait" : 0, "clickbait": 1}
classifier_type_name = 'AdaBoost'
num_of_features = 10
json_results_file = 'data/output/expermintal_environment/results.jsonl'