Ngoc Phan

Jul 13, 2024 | phann123.medium.com | Ngoc Phan

data_df = pd.DataFrame(data) # Data Preprocessing def preprocess_data(df): # Example feature: Extract keywords from posts vectorizer = CountVectorizer() post_features = vectorizer.fit_transform(df['posts']).toarray() # Extract numeric features from profile_info (example: year of birth) df['year_of_birth'] = df['profile_info'].apply(lambda x: int(re.findall(r'\d+', x)[0]) if re.findall(r'\d+', x) else np.nan) # Combine features into a single dataframe features = np.hstack([post_features,...

Jun 21, 2024 | mdpi.com | Viet Le |Ngoc Phan |Thi Tran |Thi Diep Khong

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May 17, 2023 | onlinelibrary.wiley.com | Elaine Denny |Ngoc Phan |Diego Romero |Erik Wibbels

Abstract There is growing affinity for audits as a tool to promote political accountability and reduce corruption. Nevertheless, knowledge about the mechanisms through which audits work remains limited. While most work on audits shows that they can work via citizen sanctions of bad performers, we emphasize that audit effects can also run through prospective incentives, that is, the desire to avoid poor audit results in the first place.