Political tweets Sentiment anayslis for Pro, neutral and anti-govt activities

This dataset aims to identify the polarity of tweets—whether they are supportive, oppositional, or neutral—towards the current government. It comprises a total of 26,000 tweets: 15,000 in English and 11,000 in Urdu. These tweets were collected from 80 different political users' accounts to ensure a diverse and comprehensive representation of opinions. The English dataset includes tweets from a wide range of political figures, activists, and commentators, providing insights into the English-speaking political discourse. Similarly, the Urdu dataset captures the perspectives of prominent Urdu-speaking political users, reflecting the nuances of political sentiment in this language. Each tweet in the dataset is labeled with its polarity: support, opposition, or neutral. This labeling facilitates various analyses, such as sentiment analysis, opinion mining, and the study of political communication patterns. Researchers can utilize this dataset to explore how political opinions are expressed and propagated on social media platforms. Overall, this dataset serves as a valuable resource for researchers interested in political sentiment analysis, multilingual text processing, and the study of social media's impact on political dynamics. The inclusion of both English and Urdu tweets enhances its utility for comparative studies across different linguistic and cultural contexts.

本数据集旨在识别推文的极性——即它们是对政府支持、反对还是中立——共计26,000条推文：其中英语推文15,000条，乌尔都语推文11,000条。这些推文来自80个不同政治用户的账户，以确保意见的多样性和全面性。英语数据集涵盖了众多政治人物、活动家和评论家的推文，为英语政治话语提供了洞见。同样，乌尔都语数据集捕捉了著名乌尔都语政治用户的观点，反映了该语言中政治情感的细微差别。数据集中的每条推文都被标注了其极性：支持、反对或中立。这种标注有助于进行各种分析，如情感分析、意见挖掘和政治传播模式的研究。研究者可以利用此数据集探索政治观点如何在社交媒体平台上表达和传播。总体而言，该数据集对那些对政治情感分析、多语言文本处理以及社交媒体对政治动态影响的研究感兴趣的学者而言，是一份宝贵的资源。英语和乌尔都语推文的包含增强了其在不同语言和文化背景比较研究中的实用性。