官方服务:
资源简介:
for sentiment analysis
用于情感分析(sentiment analysis)
应用场景:
创建时间:
2017-08-21
相关数据集
MonoHime/ru_sentiment_dataset
该数据集包含从六个不同来源聚合的俄语文本,用于情感分析和文本分类。数据集中的标签含义为:0表示中性,1表示积极,2表示消极。数据集来源包括俄语新闻的情感分析、俄语有毒评论、汽车评论、不同领域的评论、LINIS Crowd的文本集合以及俄语酒店评论。
Hugging Face2021-05-20 更新640
RamWithAPlan/preprocessed_yelp_for_bert
--- dataset_info: features: - name: label dtype: class_label: names: '0': 1 star '1': 2 star '2': 3 stars '3': 4 stars '4': 5 st
Hugging Face2023-06-07 更新140
Sentiment Analysis 2_0 for App Reviews
Sentiment Analysis 2.0 for App Reviews - Language Understanding API specially designed for App Reviews. It consists of 74 dedicated Semantic Models designed to process App Reviews.
RapidAPI2021-03-27 更新70
davidsilva824/dataset_1_task_b
--- dataset_info: features: - name: id dtype: int64 - name: tweet_text dtype: string - name: tweet_date dtype: string - name: sentiment dtype: int64 - name: query_used
Hugging Face2024-06-14 更新180
raygx/NepCov19TweetsPlus2
--- dataset_info: features: - name: Sentiment dtype: int64 - name: Sentences dtype: string splits: - name: train num_bytes: 15287354 num_examples: 39432 download_size: 0
Hugging Face2023-07-09 更新100



