| Experiments | For comparison, we implemented several alternative vector space models that are conceptually similar to our own, as discussed in section 2: |
| Our Model | The logistic regression weights 2p and be define a linear hyperplane in the word vector space where a word vector’s positive sentiment probability depends on where it lies with respect to this hyperplane. |
| Related work | ing sentiment-imbued topics rather than embedding words in a vector space . |
| Related work | Vector space models (VSMs) seek to model words directly (Turney and Pantel, 2010). |