Kurdish social media sentiment corpus: Misyar marriage perspectives

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-10-03 DOI:10.1016/j.dib.2024.110989

Sarkhel H. Taher Karim

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引用次数: 0

Abstract

This article presents a thorough compilation of 5108 Central Kurdish comments taken from YouTube and Facebook. The purpose of compiling the dataset was to investigate public perceptions of Misyar marriage, a non-traditional form of marriage, in the Kurdistan region. The goal of the 135-day data collection period was to gather comments from specific public pages on these social media platforms. there are two columns in the dataset: sentiments and comments. The sentiments column classifies each comment into one of eight sentiment labels: Positive, Negative, Neutral, Sarcastic or Humorous, Suggestive, Dismissive, Skeptical, and Curious. The comments column contains the text of the comments in Central Kurdish. To improve the quality and uniformity of the data, a great deal of preprocessing was done to address problems like noise removal, character replacement, and space adjustments.

Researchers interested in sentiment analysis, social media studies, Islamic studies, and Kurdish cultural practices will find the dataset to be a useful resource. It can be used for sentiment analysis, trend analysis, linguistic studies, and other analyses. It provides insights into the public discourse surrounding Misyar marriage. The labeled data can aid in the creation of machine learning models and further our knowledge of societal perceptions of emerging religious trends.

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库尔德社交媒体情感语料库：Misyar 婚姻观点

本文全面汇编了 5108 条来自 YouTube 和 Facebook 的库尔德中部评论。汇编该数据集的目的是调查库尔德斯坦地区公众对 Misyar 婚姻（一种非传统形式的婚姻）的看法。135 天数据收集期的目标是从这些社交媒体平台的特定公共页面上收集评论。数据集中有两列：情感和评论。情绪列将每条评论分为八种情绪标签之一：积极、消极、中性、讽刺或幽默、暗示、轻蔑、怀疑和好奇。评论栏包含中库尔德语的评论文本。为了提高数据的质量和统一性，对数据进行了大量预处理，以解决噪音去除、字符替换和空间调整等问题。对情感分析、社交媒体研究、伊斯兰研究和库尔德文化习俗感兴趣的研究人员会发现该数据集是一个有用的资源。它可用于情感分析、趋势分析、语言研究和其他分析。它提供了对围绕 Misyar 婚姻的公共讨论的见解。标注的数据有助于创建机器学习模型，进一步了解社会对新兴宗教趋势的看法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.