aspect-based
aspect-based-sentiment-analysis-uzbekAspect-Based_Sentiment_Analysis_for_Catering
说明
数据集来源于AI Challenger 2018
sentiment_analysis_trainingset.csv 为训练集数据文件，共105000条评论数据
sentiment_analysis_validationset.csv 为验证集数据文件，共15000条评论数据
sentiment_analysis_testa.csv 为测试集A数据文件，共15000条评论数据
数据集分为训练、验证、测试A与测试B四部分。数据集中的评价对象按照粒度不同划分为两个层次，层次一为粗粒度的评价对象，例如评论文本中涉及的服务、位置等要素；层次二为细粒度的情感对象，例如“服务”属性中的“服务人员态度”、“排队等候时间”等细粒度要素。评价对象的具体划分如下表所示。
The dataset is divided into four parts: training, validation, test A and test B. This dataset builds a two-layer labeling system according to the… See the full description on the dataset page: https://huggingface.co/datasets/xcz0/Aspect-Based_Sentiment_Analysis_for_Catering.burmese-aspect-based-sentiment
Burmese Aspect-Based Sentiment Analysis (ABSA) Dataset
This dataset contains Burmese customer reviews annotated for two-stage Aspect-Based Sentiment Analysis (ABSA).
Dataset Subsets (Configurations)
This repository contains two subsets:
stage1 (stage1_aspect_classification.csv): Multi-label aspect detection dataset containing 6 business aspects and an "All-Zero" baseline class (7,508 rows).
stage2 (stage2_sentiment_pairs.csv): Aspect-level sentiment… See the full description on the dataset page: https://huggingface.co/datasets/Fixaro/burmese-aspect-based-sentiment.aspect-based-emotion-training-without-sectiontwitter_aspect_based_sentiment_analysisAspect-based-sentiment-analysis