Weather Sentiment - Amazon Mechanical Turk dataset

Dataset re-collected using Amazon Mechanical Turk from an original dataset provided by CrowdFlower as part of the 2013 Crowdsourcing at Scale shared task challenge. The dataset contains 6000 classifications of the sentiment of 300 tweets, with gold-standard sentiment labels, provided by 110 workers. The sentiment judgements are provided in the following categories: negative (0), neutral (1), positive (2), tweet not related to weather (3) and can't tell (4). Each row contains

本数据集通过亚马逊机械 Turk（Amazon Mechanical Turk）平台重新采集，其原始数据集由CrowdFlower提供，作为2013年“大规模众包”（Crowdsourcing at Scale）共享任务挑战赛的组成部分。该数据集包含110名标注人员完成的300条推文的6000条情感分类标注，并附带金标准情感标签。情感判定共分为以下类别：负面（0）、中性（1）、正面（2）、与天气无关的推文（3）以及无法判定（4）。每一行包含