A dataset of Roman Urdu text with spelling variations for sentence level sentiment analysis.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-11-23 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111170

Mudasar Ahmed Soomro, Rafia Naz Memon, Asghar Ali Chandio, Mehwish Leghari, Muhammad Hanif Soomro

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引用次数: 0

Abstract

Roman Urdu text is very widespread on many websites. People mostly prefer to give their social comments or product reviews in Roman Urdu, and Roman Urdu is counted as non-standard language. The main reason for this is that there is no rule for word spellings within Roman Urdu words, so people create and post their own word spellings, like "2mro" is a nonstandard spelling for tomorrow. This paper aims to collect two Roman Urdu datasets: one is roman Urdu words with various spelling variations. This dataset contains 5244 Roman Urdu words, within which we have included variations in word spellings ranging from (one) to (five) different spellings for each word. The second dataset consists of Roman Urdu reviews, which were collected from (seven) different internet-based sources. This dataset contains multiclass reviews, namely "very positive," "positive," "very negative," "negative," and "neutral", respectively. We gathered a total of 28,090 reviews. The sentiments of the reviews were made by the domain experts who were familiar with the Urdu language.

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罗马乌尔都语文本在许多网站上都非常普遍。人们大多喜欢用罗马乌尔都语发表社会评论或产品评论，而罗马乌尔都语被视为非标准语言。其主要原因是罗马乌尔都语单词中没有拼写规则，因此人们创造并发布自己的单词拼写，例如 "2mro "就是明天的非标准拼写。本文旨在收集两个罗马乌尔都语数据集：一个是具有各种拼写变化的罗马乌尔都语单词。该数据集包含 5244 个罗马乌尔都语单词，其中每个单词的拼写变化范围从（一种）到（五种）不等。第二个数据集由罗马乌尔都语评论组成，这些评论是从（7）个不同的互联网来源收集的。该数据集包含多类评论，分别为 "非常正面"、"正面"、"非常负面"、"负面 "和 "中性"。我们共收集了 28,090 条评论。评论的情感由熟悉乌尔都语的领域专家做出。

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.