Novel framework for data transformation for yielding structured data in opinion mining

机译：用于在意见挖掘中产生结构化数据的新型数据转换框架

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

An effective data transformation is an integral requirement in order to facilitate an effective knowledge discovery mechanism on bigger scale of data. The proposed system considers the complexity associated with diverse opinion-based textual data that is shared by the user. Our review on existing system shows a big trade-off on implementing any form of simple transformation technique to address data volume and unstructured form of data. Therefore, the solution offered in this manuscript deals with identification of an explicit categories of data and extract the opinion shared for facilitating better sentiment analysis in future. Compared with the most frequently adopted software framework, our mechanism was found with faster response time and hence show better applicability in online analytical application associated with opinion mining operation for bigger data set

机译：有效的数据转换是促进大规模数据上有效的知识发现机制不可或缺的条件。所提出的系统考虑了与用户共享的各种基于意见的文本数据相关的复杂性。我们对现有系统的评论显示，在实现任何形式的简单转换技术以解决数据量和非结构化数据形式方面，存在很大的取舍。因此，本手稿中提供的解决方案用于识别明确的数据类别，并提取共享的意见，以便将来更好地进行情感分析。与最常用的软件框架相比，我们的机制具有更快的响应时间，因此在与较大数据集的意见挖掘操作相关的在线分析应用程序中显示出更好的适用性。

著录项

来源
《2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques》|2017年|1-5|共5页
会议地点 Mysuru(IN)
作者
P. K. Kumar; S. Nanadagopalan;
展开▼
作者单位

Department of MCA, VTU, PG Studies, Mysuru;

Department of CSE, Bangalore Institute of Technology, Bengaluru;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Data mining; Sentiment analysis; Algorithm design and analysis; Classification algorithms; Social network services; Distributed databases;

机译：数据挖掘;情感分析;算法设计与分析;分类算法;社交网络服务;分布式数据库;;

相似文献

外文文献
中文文献
专利

1. Unstructured Social Media Data Mining System Based on Emotional Database and Unstructured Information Management Architecture Framework [J] . Advanced Science Letters . 2017,第3期

机译：基于情感数据库和非结构化信息管理架构框架的非结构化社交媒体数据挖掘系统
2. Extending ER models to capture database transformations to build data sets for data mining [J] . Carlos Ordonez, Sofian Maabout, David Sergio Matusevich, Data & Knowledge Engineering . 2014,第JANa期

机译：扩展ER模型以捕获数据库转换以构建用于数据挖掘的数据集
3. Cross Domain Opinion Mining in Synonymically Structured Database [J] . Merlin Archana, Karthikeyan.R International Journal of Innovative Research in Science, Engineering and Technology . 2014,第3期

机译：同义词结构数据库中的跨域意见挖掘
4. Novel framework for data transformation for yielding structured data in opinion mining [C] . P. K. Kumar, S. Nanadagopalan International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques . 2017

机译：用于在意见采矿中产生结构化数据的数据转换的新框架
5. Opinion Mining and Emotion Detection in Social Network Data and Student Survey Data in Cloud Environment [D] . Easwaran, Akshaya. 2021

机译：云环境中社交网络数据与学生调查数据中的意见挖掘和情感检测
6. Data Preparation Framework for Preprocessing Clinical Data in Data Mining [O] . Jau-Huei Lin, Peter J. Haug 2006

机译：在数据挖掘中预处理临床数据的数据准备框架
7. A generalized Framework of Privacy Preservation in Distributed Data mining for Unstructured Data Environment [O] . V. Thavavel, S. Siva Kumar 2012

机译：非结构化数据环境下分布式数据挖掘中的隐私保护通用框架

Novel framework for data transformation for yielding structured data in opinion mining

摘要

著录项

相似文献

相关主题

期刊订阅