Sentiment classes researchers in [1, 22, 24, 34], have classified sentiments under two classes (positive and negative).
There are two categories classes: Sentiment classes researchers in [1, 22, 24, 34], have classified sentiments under two classes (positive and negative).
For instance, sentiment classes (positive, negative, mixed, neutral), three other classes (unannotable, non-relevant, unclear) and volume-based measures were combined in [15].
Weekly location-specific sentiment proportions over three sentiment classes ({textit{positive}, textit{negative}, textit{neutral}} in s,sum_{i} s_{i} = 1): S_{w, l}^{s_{i}} = frac{# mbox{ of weekly tweets labeled with sentiment }s_{i}mbox{ per location }l}{# mbox{ of weekly tweets per location }l}.
We trained sentiment models on tweets annotated with three opinion classes downloaded from seven publicly available sentiment datasets [46].
In their view art education should be championed for its own sake, not because of a wishful sentiment that classes in painting, dance and music improve pupils' math and reading skills and standardized test scores.
Hume, in contrast, often used "sentiment" for the class of refined and reflective emotions that are the basis for our moral and aesthetic judgments.
Yet, some argued this sentiment betrayed the class struggle.
"Mike Kelley," comments Leonard Koscianski, "made very high priced works that ridiculed middle class sentiment.
Experiments on several datasets have proven that the combined use of both techniques improves the classification accuracy on 3-class sentiment analysis.
