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Sentiment (supervised polarity classification) and topic analysis of LastQuake app user's comments - Aegean 2020 earthquake

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Figshare2021-05-26 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Polarity_and_topic_supervised_classification_of_LastQuake_app_user_s_comments_-_Aegean_2020_earthquake/14604354
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This database contains the sentiment analysis (SA) and topic supervised classification of the comments posted by LastQuake app users related to the 30th October 2020 Aegean earthquake. LastQuake app is a crowdsource-based earthquake information app that allows eyewitnesses to share information about the earthquakes that they felt, combined with seismic data. This app was developed by the European-Mediterranean Seismological Centre (EMSC). Attributes and data contained in the database are: § eq_evid : Number of the earthquake the comment is associated with § eq_mag : magnitude of the event § eq_t0 : Origin time (UTC) § intensity: felt report intensity (as before leaving a comment users must leave a felt report) § epidist : distance from the event of the comment, in km § dt : response time from the origin time of the associated event, in seconds § rate_pos : number of positive rates * § rate_neg : number of negative rates* § device : device from which the comment was left (desktop, mobile ou app) § comm_valid : 0 or 1 depending on if we validated the comment or not. We invalidate comments when we consider them inappropriate (violence, insults,...) § language: Original language on which the comment was written § polarity: Polarity on which the comment is classified, i.e. positive, negative, neutral § topic: Main topic addressed in the comment, i.e. building damages, tsunami effects, geotechnical effects, lifelines affected, emergency response, solidarity messages, preparedness, seismic information, intensity and unrealted. § comment: comment posted by LastQuake app user translated to English
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2021-05-26
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