Social Sciences
This dataset contains anonymized Twitter data related to tourist activities in Bangkok, Thailand. It was collected to analyze travel behavior, activity preferences, and temporal patterns during events like the Songkran festival. The dataset includes timestamped activity classifications, geographic information at a generalized level, and extracted named entities relevant to tourism. The dataset is from 2019-04-05 to 2019-04-24.
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This dataset, constructed around the Jilin Baishan Incident, aims to enhance the emotion prediction capabilities of large language models. Approximately 3.5 million raw comments were collected via the Weibo API, covering key information such as user identifiers, text content, timestamps, and interaction metrics. The data underwent preprocessing steps including normalization, Chinese tokenization, stopword removal, deduplication, and anomalous sample exclusion.
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Clean energy technologies, encompassing renewable resources like solar, wind, and hydropower, are essential in the global effort to reduce greenhouse gas emissions and combat climate change. As the globe prepares to transition away from fossil fuels, understanding the factors and parameters influencing the penetration of clean energy into existing energy markets has become a critical step. Controversies surrounding the environmental impacts of renewable technologies, variability in market structures, and economic pressures on clean energy companies can complicate this transition.
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This dataset provides the full list of security controls proposed in the article "Enhancing Cybersecurity in the Judiciary: Integrating Additional Controls into the CIS Framework". The dataset includes a detailed classification of security controls derived from the CIS Controls framework and additional measures specifically tailored to address cybersecurity challenges in the Judiciary. These controls enhance operational risk management, digital asset protection, and organizational resilience.
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Virtual influencers have become a key tool in modern marketing due to their high controllability and cost-effectiveness, gradually replacing traditional influencers and celebrities. This study focuses on virtual influencers as brand endorsers, based on signaling theory and attachment theory, exploring the influence of five key characteristics - controllability, interactivity, parasocial relationship, influencer-product congruence, and source credibility on the purchase intension of Chinese Generation Z consumers. The study used a quantitative approach to collect data
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In recent years, with the rapid development of generative AI, it has become a popular topic in various fields. This study, based on the Stimulus-Organism-Response (SOR) theory, explores the impact of generative AI on customer experience, trust, purchase intention, and loyalty in cross-border e-commerce platforms, with perceived risk as a moderating variable. The empirical design uses data from a questionnaire survey to investigate how generative AI influences customer behavior.
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The TripAdvisor online airline review dataset, spanning from 2016 to 2023, provides a comprehensive collection of passenger feedback on airline services during the COVID-19 pandemic. This dataset includes user-generated reviews that capture sentiments, preferences, and concerns, allowing for an in-depth analysis of shifting customer priorities in response to pandemic-related disruptions. By examining these reviews, the dataset facilitates the study of evolving passenger expectations, changes in service perceptions, and the airline industry's adaptive strategies.
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This is a videoconference between a witness about murders who is a victim of many crimes and a law firm. This witness is called Colin Paul Gloster. This law firm is called Pais do Amaral Advogados.
\begin{quotation}``A significant part of the background of eh this process is that Hospital
Sobral Cid tortured me during 2013 eh but eh this process is actually
about consequences eh thru through a later process [. . .] To obscure eh
this torture of 2013, eh a new show trial was intitiated. Its process was
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When expressing emotions in daily life, sentences with different personal pronouns as the subject may bring listeners different emotional experiences. This study established and validated an auditory emotional speech dataset consisting of sentences with three types of Mandarin Chinese Personal Pronouns (I and We, singular You and plural You, singular third-person, and They) as the subject, an unprecedented resource.
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