MONOVAB
收藏arXiv2023-09-27 更新2024-08-06 收录
下载链接：
http://arxiv.org/abs/2309.15670v1
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资源简介：
MONOVAB是一个为孟加拉语多标签情感检测构建的注释语料库，由Alliance University的研究人员创建。该数据集包含从Facebook收集的136,583条评论数据，旨在通过上下文基础的注释方法来精确识别文本中的多种情感。创建过程中，研究人员开发了自动数据抓取算法，并由本地语言专家进行注释。MONOVAB数据集主要用于解决孟加拉语中多标签情感识别的挑战，为自然语言处理领域提供了一个宝贵的资源。
MONOVAB is an annotated corpus developed for Bengali multi-label sentiment detection, created by researchers from Alliance University. This dataset comprises 136,583 comment samples collected from Facebook, and is designed to accurately identify multiple sentiment categories in text via context-based annotation approaches. During the corpus construction, researchers developed automated data scraping algorithms, with annotations conducted by native Bengali language experts. The MONOVAB dataset primarily aims to address the challenges of multi-label sentiment recognition in Bengali, serving as a valuable resource for the natural language processing (NLP) community.
提供机构：
Alliance University, Bengaluru, Karnataka 562106, Bangladesh
创建时间：
2023-09-27
