{"title":"Latent Dirichlet Allocation Algorithm using Linguistic Analysis","authors":"Aftab Saad Sohail, Maria Sameen, Qazi Ahmed","doi":"10.1109/ICGHIT.2019.00034","DOIUrl":null,"url":null,"abstract":"This study proposes an index which can be used to measure the sensitivity of monetary policy communication, based on the value of index positivity or negativity of a sentence is identified. The Latent Dirichlet Allocation algorithm has been applied on extracted monetary policy data and identified words. The clouds of identified words are the quantified which resulted in a single variable; index.","PeriodicalId":160708,"journal":{"name":"2019 International Conference on Green and Human Information Technology (ICGHIT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Green and Human Information Technology (ICGHIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGHIT.2019.00034","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This study proposes an index which can be used to measure the sensitivity of monetary policy communication, based on the value of index positivity or negativity of a sentence is identified. The Latent Dirichlet Allocation algorithm has been applied on extracted monetary policy data and identified words. The clouds of identified words are the quantified which resulted in a single variable; index.