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"How effective is twitter (X) social media data for urban flood managem" by Shan e.hyder Soomro, Muhammad Waseem Boota et al.

Social media has been an instant source of information for natural disasters, such as urban floods, throughout the world. Ex-post evaluation of the information is considered more important after a flood disaster with devastating consequences on critical infrastructure, the environment, and the well-being of the society. Research proposes an evaluation framework for integrating the disorganized online public opinion on urban flood disaster events towards emotional and conceptual characteristics for better ex-post analysis and public participation. Social media posts on an urban flood were acquired using a search engine, and then sentiment analysis, topic modeling, and spatial–temporal analysis were performed to generate measures of online public opinion about the urban flood crisis. Twitter (X) is the most popular microblogging service presently available. As per the methodology, we analyzed all tweets regarding the 2022 urban flood in the cosmopolitan city (Karachi) of Pakistan from ....

Artificial Intelligence Ai , Arge Language Model Llm , Atural Language Processiong Nlp , Entiment Analysis Sa , Urban Flood ,

Meta Developing New AI Model To Rival OpenAI Report

The social media giant has set its sights on creating an AI model that is expected to surpass its current offering, Llama 2, , Meta Platforms, OpenAI, large language model (LLM), Artificial Intelligence (AI) ....

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