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In this paper we propose to estimate the urgency of urban issues by mining different emotions that are implicit in the text describing the issue.
Mining citizen emotions to estimate the urgency of urban issues. Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/is/MasdevalV15. Home ...
Jul 5, 2016 · Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm.
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Citizen-Centric Urban Planning through Extracting Emotion Information from Twitter in an Interdisciplinary Space-Time-Linguistics Algorithm.
Missing: Mining estimate urgency
Sentiment Analysis, also referred to as Opinion Mining, is the process of detecting and categorizing opinions in order to determine the writer's attitude ...
More than 50% reported each of the following emotions: sad, anxious, angry, powerless, helpless, and guilty. More than 45% of respondents said their feelings ...
Aug 8, 2022 · A topic mining and sentiment analysis model for user comments was constructed to study the current state of public perception of smart city concepts.
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This article discusses shrinking mining cities in capitalist economies, the factors underpinning their development, and some of the planning and community ...
Aug 17, 2021 · The main goal of the analysis is to represent tweets based on their text contents and then assess words trend to understand citizens' sentiment ...
The challenges of an increasingly poor urban population, as well as the mushrooming of illegal or semi-legal settlements and slums, have been acknowledged by ...