Table 2 Data characteristics of relevant features
From: Big data analytics on social networks for real-time depression detection
Attribute ID | Attribute name | Data type | Description |
|---|---|---|---|
\(x_{1}\) | Gender | Nominal | 0: female, 1: male, 2: others |
\(x_{2}\) | Age | Nominal | 1: < 20, 2: 20–29, 3: 30–39, 4: 40–49, 5: 50–59, 6: ≥ 60 |
\(x_{3}\) | Weight | Nominal | 1: < 40, 2: 40–59, 3: 60–79, 4: 80–99, 5: ≥ 100 |
\(x_{4}\) | Education | Nominal | 1: high school diploma or less, 2: bachelor’s degree, 3: graduate degree |
\(x_{5}\) | CongenitalDisease | Nominal | 1: no, 2: yes |
\(x_{6}\) | Career | Nominal | 1: government official, 2: state enterprise employee, 3: businessman, 4: student, 5: homemaker, 6: not currently employed |
\(x_{7}\) | Income | Nominal | 1: sufficient, 2: insufficient |
\(x_{8}\) | FamilyMember | Numeric | Number of family members |
\(x_{9}\) | Self-CoupleStatus | Nominal | 1: no couple, 2: stay together with couple, 3: separated with couple |
\(x_{10}\) | ParentMaritalStatus | Nominal | 1: stay together with couple, 2: separated with couple, 3: couple died |
\(x_{11}\) | PositiveTweets | Numeric | Number of positive tweets |
\(x_{12}\) | NegativeTweets | Numeric | Number of negative tweets |
\(x_{13}\) | DepressionTweets | Numeric | Number of tweets expressing depression |
\(x_{14}\) | PositiveRetweets | Numeric | Number of positive retweets |
\(x_{15}\) | NegativeRetweets | Numeric | Number of negative retweets |
\(x_{16}\) | DepressionRetweets | Numeric | Number of retweets expressing depression |
\(x_{17}\) | PositiveHashtags | Numeric | Number of positive hashtags |
\(x_{18}\) | NegativeHashtags | Numeric | Number of negative hashtags |
\(x_{19}\) | DepressionHashtags | Numeric | Number of hashtags expressing depression |
\(x_{20}\) | SentimentScore | Numeric | Sentiment score of tweets |
\(x_{21}\) | Friends | Numeric | Number of friends |
\(x_{22}\) | Followers | Numeric | Number of followers |
\(x_{23}\) | TweetPeriod1 | Numeric | Number of tweets between 6 am and midnight |
\(x_{24}\) | TweetPeriod2 | Numeric | Number of tweets between midnight and 6 am |
y | DepressionLevel | Nominal | Level 0: no depression, level 1: slight depression, level 2: depression |