The Comprehensive Hindi Hostile Post Detection Dataset (CM-HTHPD) is collection of Twitter posts written in the Hindi language, focusing on various forms of hostile content. The dataset was gathered using the Twitter Developer API and subsequently annotated manually with sentiment labels using the Label Studio platform. The dataset is primarily aimed at facilitating research and analysis in the domain of hostile content detection and sentiment analysis in Hindi-language social media discourse. The size of the dataset is approx 8300.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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TThe dataset contains Tweet IDs related to Twitter communication in the field of corporate social responsibility, which were downloaded for the period from January 1, 2017 to April 31, 2022. These are 520,638 from 168,134 different users. This dataset contained all tweets containing the hashtag #csr for the period under study.
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For the purpose of experimentation, the historical stock prices of three petroleum companies: Pakistan State Oil (PSO), Hascol, and Attock Petroleum Limited (APL), are extracted from the Pakistan Stock Exchange (PSX) website through a web scrapper for the last four years. Different attributes related to the stocks of each of these companies are extracted for each day. Along with this, for each of these companies, Twitter data for sentiment analysis is also extracted using Twint.
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<p>This multilingual Twitter dataset spans over 2 years from October 2019 to the end of 2021, including 3 months before the outbreak of the COVID-19 pandemic.</p>
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his repository includes all files regarding to "Analyzing Arabic Twitter-based Patient Experience Sentiments using MARBERT" graduation project.
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