Sentiment retrieval on web reviews using spontaneous natural speech

Jose Costa Pereira, J. Luque, Xavier Anguera Miró
{"title":"Sentiment retrieval on web reviews using spontaneous natural speech","authors":"Jose Costa Pereira, J. Luque, Xavier Anguera Miró","doi":"10.1109/ICASSP.2014.6854470","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of document retrieval based on sentiment polarity criteria. A query based on natural spontaneous speech, expressing an opinion about a certain topic, is used to search a repository of documents containing favorable or unfavorable opinions. The goal is to retrieve documents whose opinions more closely resemble the one in the query. A semantic system based on speech transcripts is augmented with information from full-length text articles. Posterior probabilities extracted from the articles are used to regularize their transcription counterparts. This paper makes three important contributions. First, we introduce a framework for polarity analysis of sentiments that can accommodate combinations of different modalities capable of dealing with the absence of any modality. Second, we show that it is possible to improve average precision on speech transcriptions' sentiment retrieval by means of regularization. Third, we demonstrate the robustness of our approach by training regularizers on one dataset, while performing sentiment retrieval experiments, with substantial gains, on another dataset.","PeriodicalId":6545,"journal":{"name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"59 1","pages":"4583-4587"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.2014.6854470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This paper addresses the problem of document retrieval based on sentiment polarity criteria. A query based on natural spontaneous speech, expressing an opinion about a certain topic, is used to search a repository of documents containing favorable or unfavorable opinions. The goal is to retrieve documents whose opinions more closely resemble the one in the query. A semantic system based on speech transcripts is augmented with information from full-length text articles. Posterior probabilities extracted from the articles are used to regularize their transcription counterparts. This paper makes three important contributions. First, we introduce a framework for polarity analysis of sentiments that can accommodate combinations of different modalities capable of dealing with the absence of any modality. Second, we show that it is possible to improve average precision on speech transcriptions' sentiment retrieval by means of regularization. Third, we demonstrate the robustness of our approach by training regularizers on one dataset, while performing sentiment retrieval experiments, with substantial gains, on another dataset.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于自然语音的网络评论情感检索
本文研究了基于情感极性准则的文档检索问题。基于自然自发的语言,表达对某个主题的意见的查询,用于搜索包含有利或不利意见的文档库。目标是检索其观点与查询中的观点更接近的文档。基于语音文本的语义系统增加了来自全文文章的信息。从文章中提取的后验概率用于正则化其转录对应项。本文有三个重要贡献。首先,我们引入了一个情感极性分析框架,该框架可以容纳不同模态的组合,能够处理任何模态的缺失。其次,我们证明了使用正则化方法可以提高语音转录的情感检索的平均精度。第三,我们通过在一个数据集上训练正则器来证明我们方法的鲁棒性,同时在另一个数据集上执行情感检索实验,获得了可观的收益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multichannel detection of an unknown rank-one signal with uncalibrated receivers Design and implementation of a low power spike detection processor for 128-channel spike sorting microsystem On the convergence of average consensus with generalized metropolis-hasting weights A network of HF surface wave radars for maritime surveillance: Preliminary results in the German Bight Mobile real-time arousal detection
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1