Downloads provided by UsageCounts
Stanford Sentiment Treebank (SST) is an extension of Movie Review dataset with fine-grained labels ranging between very positive and very negative. The authors extended the MR by adding a more curated human annotation into 5 classes. The files: texts.txt: Document set (text). One per line. score.txt: Document class whose index is associated with texts.txt split_<k>.pkl: pandas DataFrame with k-cross validation partition
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 4 |

Views provided by UsageCounts
Downloads provided by UsageCounts