Table 5 Prediction of Unhappy Response from Sentiment Scored Tweet Quantity
From: Linking Twitter and survey data: asymmetry in quantity and its impact
| Â | Afinn (S.E.) | Bing (S.E.) |
|---|---|---|
#Positive Tweets (log) | 0.058 | 0.230 |
(0.327) | (0.361) | |
#Negative Tweets (log) | −0.525 | −0.733* |
(0.326) | (0.377) | |
#Followers (log) | 0.543 | 0.582* |
(0.349) | (0.352) | |
#Friends (log) | 0.283 | 0.295 |
(0.300) | (0.298) | |
Female | 1.704** | 1.804** |
(0.609) | (0.628) | |
Employed | 2.073* | 2.265* |
(1.172) | (1.211) | |
Age | 0.033 | 0.030 |
(0.025) | (0.025) | |
HH Income £2400+ | −0.651 | −0.703 |
(0.804) | (0.812) | |
Education (baseline other education) | Â | Â |
 Higher Ed. Degree | 0.666 | 0.627 |
(0.960) | (0.956) | |
 Professional/A-levels | 1.125 | 1.144 |
(0.938) | (0.935) | |
White Ethnicity | 0.653 | 0.777 |
(0.769) | (0.782) | |
Married | −0.662 | −0.686 |
(0.629) | (0.627) | |
Positive Econ. Well-Being | −0.417 | −0.397 |
(0.568) | (0.574) | |
Constant | −8.366** | −8.772** |
(2.427) | (2.510) | |
Chi-Sq/DF | 1.90 | 2.01 |
n | 126 | 126 |