基于语言分析的潜在狄利克雷分配算法

2019 International Conference on Green and Human Information Technology (ICGHIT) Pub Date : 1900-01-01 DOI:10.1109/ICGHIT.2019.00034

Aftab Saad Sohail, Maria Sameen, Qazi Ahmed

{"title":"基于语言分析的潜在狄利克雷分配算法","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":"{\"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}","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

摘要

本研究提出了一个可以用来衡量货币政策沟通敏感性的指标，该指标的价值基于一个句子的积极或消极来确定。将潜狄利克雷分配算法应用于提取的货币政策数据和识别词。识别词的云是量化的，导致单一变量;索引。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Latent Dirichlet Allocation Algorithm using Linguistic Analysis

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 International Conference on Green and Human Information Technology (ICGHIT)

自引率

0.00%

发文量