{"title":"GeoSentiment: A tool for analyzing geographically distributed event-related sentiments","authors":"C. Pino, I. Kavasidis, C. Spampinato","doi":"10.1109/CCNC.2016.7444775","DOIUrl":null,"url":null,"abstract":"In this demo paper we present GeoSentiment, a tool for effective assessment and visualization of event-related sentiments in geographically confined populations. GeoSentiment is developed as a web tool application and provides to stakeholders an easy-to-use and powerful means to investigate how events are perceived by people and which factors may influence such perception. GeoSentiment relies on different services for a) retrieving and mining official statistical information as well as the most-common social networks and b) performing sentiment analysis. It is provided with an interactive interface, which enables rendering and deep exploration of all the processed data and results.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2016.7444775","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this demo paper we present GeoSentiment, a tool for effective assessment and visualization of event-related sentiments in geographically confined populations. GeoSentiment is developed as a web tool application and provides to stakeholders an easy-to-use and powerful means to investigate how events are perceived by people and which factors may influence such perception. GeoSentiment relies on different services for a) retrieving and mining official statistical information as well as the most-common social networks and b) performing sentiment analysis. It is provided with an interactive interface, which enables rendering and deep exploration of all the processed data and results.
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