Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood by Yifan Yang, Naoki Ohira, Hideomi Gokon

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An analysis of ridesharing trip time using advanced text mining techniques by Wenxiang Xu, Anae Sobhani, Ting Fu, Amir Mahdi Khabooshani, Aminreza Vazirinasab, Sina Shokoohyar, Ahmad Sobhani, Behnaz Raouf

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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

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BiLSTM-Based Parallel CNN Models With Attention and Ensemble Mechanism for Twitter Sentiment Analysis by Anas W. Abulfaraj

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Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques by Raghu Dhumpati, Archana Sasi, Shaik Johny Basha, Suryanarayana Vadhri, P. Saroja, Swathi Alluri, Ramesh Vatambeti

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Beneath the hashtag: multifaceted insights into sustainable consumption and production from historical Twitter data by Cristian Toşa, Ari K. M. Tarigan

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A large-scale dataset of AI-related tweets: Structure and descriptive statisticsGitHubDataverse by Nathalie de Marcellis-Warin, Daniel Kouloukoui, Thierry Warin

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Annotated data for semantic role labeling of crisis events in Indonesian TweetsMendeley Data by Amelia Devi Putri Ariyanto, Diana Purwitasari, Bilqis Amaliah, Chastine Fatichah, Muhammad Ghifari Taqiuddin, Haikal

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Exploring Public Sentiment Towards Agile and Digital Transformation: A Refined Methodological Approach Through Twitter Sentiment Analysis and Topic Modeling by Hidri Florenc, Çaushi Blerta Abazi, Tigno Gladiola

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Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

Subjects: “…Real time twitter data…”
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