A Data Quality Multidimensional Model for Social Media Analysis

This dataset comprises the data used in the paper for assessing the quality of several metrics in determining the relevance of the users. The datasets consists of data extracted from Twitter for the automotive domain, where the query consisted in several brands and models of cars. We provide three datasets: users_all_metrics2.txt User_id, statuses, listed, friends, followers, tweets on domain (dataset), Screen name, User language, User location, Verified account (True/False), Coherence of profile (entropy of text under domain model), #Performed actions, #Received actions tweets_all_metrics.txt.gz Tweet_id, replies, retweets, favourites, User_id, statuses, listed, friends, followers, tweets on domain (dataset), Screen name, User language, User location, Verified account (True/False), Coherence of profile, Date of publication (created_at), Tweet Language, processed text, coherence of text, repetitions of text in collection, user's received actions, user's generated actions, text polarity, number of facts, number of linked opinion expressions, number of linked entities relevant_new.txt Screen names of the users deemed relevant for the domain Datasets are "|"-separeted text files with no header provided (see table above for the name of the columns).