PaloAnalytics:项目概念、范围和系统实现的早期结果

V. Poulopoulos, Manolis Wallace, Iraklis Varlamis, G. Caridakis, Panagiotis Tsantilas
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引用次数: 0

摘要

本文描述了一个名为PaloAnalytics的国家资助项目,该项目开发了一个创新的平台,使在许多国家运营的组织能够深入监测和分析市场对其产品的兴趣,并成功地管理他们的营销和传播计划,从当地媒体收集数据和见解。项目范围是探索、设计和开发一系列算法和工具,以收集和管理来自异构在线新闻来源、社交网络和开源的大数据;从多语言环境中的文本参考中提取知识,并通过用户友好的可视化将信息互连在一起。在本文中,我们特别关注从Twitter平台执行趋势主题提取的系统架构,并展示了其实现的一些早期结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PaloAnalytics: project concept, scope and early results from the system implementation
This paper describes the national funded project entitled PaloAnalytics, which develops an innovative platform that enables organizations, which operate in many countries, to monitor and analyze, in depth, the markets’ interest to their products and successfully manage their marketing and communication plans, with data and insights collected from the local media. The project scope is to explore, design and develop a range of algorithms and tools in order to collect and manage big data from heterogeneous online news sources, social networks and open sources; to extract knowledge from textual references in a multilingual environment, and to interconnect information together by making user-friendly visualisations. In this paper, we specifically focus on the architecture of the system that performs trending topics extraction from the Twitter platform, presenting some early results from its implementation.
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