Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST-2 or SST …

Apr 15, 2021 · SST-2(The Stanford Sentiment Treebank，斯坦福情感树库)，单句子分类任务，包含电影评论中的句子和它们情感的人类注释。 这项任务是给定句子的情感，类别分为两类正 …

Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST-2 or SST …

sst数据集： 斯坦福大学发布的一个情感分析数据集，主要针对电影评论来做情感分类，因此sst属于单个句子的文本分类任务（其中sst-2是二分类，sst-5是五分类，sst-5的情感极性区分的更 …

SST-2（Stanford Sentiment Treebank 2）是情感分析（Sentiment Analysis）任务中常用的二分类数据集，来源于斯坦福大学的Stanford Sentiment Treebank，用于自然语言处理（NLP）模型 …

Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch - YJiangcm/SST-2-sentiment-analysis

Mar 9, 2025 · SST-2 是一个二分类情感分析数据集，用于 NLP 模型评估。 GLUE Benchmark 采用 SST-2 测试模型性能，BERT、RoBERTa、GPT 等模型常用于此任务。 Hugging Face 提供 …

The current state-of-the-art on SST-2 Binary classification is T5-11B. See a full comparison of 88 papers with code.

Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST-2 or SST …

Dec 2, 2024 · Binary classification experiments on full sentences (negative or somewhat negative vs somewhat positive or positive with neutral sentences discarded) refer to the dataset as SST …