Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka
{"title":"面向股市预测的情绪挖掘研究综述","authors":"Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka","doi":"10.1109/ICSSD47982.2019.9002981","DOIUrl":null,"url":null,"abstract":"A growing body of research and practical applications employ social media data as a proxy for the complex behavior of investors in financial markets. This paper provides an overview of academic research related to the link between social media and financial markets in order to give insight into future works and challenges on investor sentiment analysis. The theoretical rationale of this relationship is predominantly defined by behavioral finance. Behavioral finance shows that emotions have a considerable impact on individual behavior. Researchers of this discipline contradict the standard model of efficient markets and considers irrational factors like investors sentiment and public mood as influential for asset pricing and financial market volatility. In this context, social media is a novel tool enabling the collection of data about such behavioral factors.","PeriodicalId":342806,"journal":{"name":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Overview on Sentiment Mining for Stock Market prediction\",\"authors\":\"Hind Bourezk, Amine Raji, Nawfal Acha, Hafid Barka\",\"doi\":\"10.1109/ICSSD47982.2019.9002981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A growing body of research and practical applications employ social media data as a proxy for the complex behavior of investors in financial markets. This paper provides an overview of academic research related to the link between social media and financial markets in order to give insight into future works and challenges on investor sentiment analysis. The theoretical rationale of this relationship is predominantly defined by behavioral finance. Behavioral finance shows that emotions have a considerable impact on individual behavior. Researchers of this discipline contradict the standard model of efficient markets and considers irrational factors like investors sentiment and public mood as influential for asset pricing and financial market volatility. In this context, social media is a novel tool enabling the collection of data about such behavioral factors.\",\"PeriodicalId\":342806,\"journal\":{\"name\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 1st International Conference on Smart Systems and Data Science (ICSSD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSD47982.2019.9002981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Smart Systems and Data Science (ICSSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSD47982.2019.9002981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Overview on Sentiment Mining for Stock Market prediction
A growing body of research and practical applications employ social media data as a proxy for the complex behavior of investors in financial markets. This paper provides an overview of academic research related to the link between social media and financial markets in order to give insight into future works and challenges on investor sentiment analysis. The theoretical rationale of this relationship is predominantly defined by behavioral finance. Behavioral finance shows that emotions have a considerable impact on individual behavior. Researchers of this discipline contradict the standard model of efficient markets and considers irrational factors like investors sentiment and public mood as influential for asset pricing and financial market volatility. In this context, social media is a novel tool enabling the collection of data about such behavioral factors.