从巴西葡萄牙语的社交网络创建语料库,以支持公共安全分析和决策

IF 3.4 3区 管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE Library Hi Tech Pub Date : 2022-10-25 DOI:10.1108/lht-08-2022-0401
Victor Diogho Heuer de Carvalho, A. Costa
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引用次数: 4

摘要

本文介绍了两种巴西葡萄牙语语料库,这些语料库收集自不同的媒体,涉及特定地点的公共安全问题。主要动机是支持分析,因此安全当局可以对其行为做出适当的决策。设计/方法/方法语料库是通过从一家报纸的网站和巴西大都市地区的推特上抓取网络获得的。应用自然语言处理,考虑文本清理、词序化、摘要化、词性和依赖性分析、命名实体识别和主题建模。根据所使用的方法获得了几个结果,突出了一些:使用自动化过程的摘要示例;依赖性解析;每个语料库中最常见的主题;40个被点名的实体和最常见的口号被提取出来,突出显示了与公共安全有关的实体。研究局限/启示研究视角确定了一些关键任务,与应用方法相关:处理从源网站获取新闻的噪音,通过社交网络帖子中常见的文本元素,如缩写、表情符号/表情符号,甚至写作错误;对主观性的处理,消除反讽和讽刺的噪音;在目标领域内搜索问题的真实新闻。所有这些任务都旨在改进流程,使有关当局能够执行准确的分析。实际意义:公共安全领域专用的语料库可以进行多种分析,例如挖掘特定地点的安全行动的公众意见;了解新闻甚至社交网络报道的罪犯行为,绘制其态度时间线;通过社交网络中的文本信息,发现可能对公共财产和人民福利造成损害的行为;提取警察行动的历史和影响,将新闻与社交网络上的记录交叉;还有很多其他的可能性。原创性/价值本文中报告的代表语料库的工作是第一批创建葡萄牙语文本基础的倡议之一,致力于巴西特定的公共安全领域。
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Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions
PurposeThis article presents two Brazilian Portuguese corpora collected from different media concerning public security issues in a specific location. The primary motivation is supporting analyses, so security authorities can make appropriate decisions about their actions.Design/methodology/approachThe corpora were obtained through web scraping from a newspaper's website and tweets from a Brazilian metropolitan region. Natural language processing was applied considering: text cleaning, lemmatization, summarization, part-of-speech and dependencies parsing, named entities recognition, and topic modeling.FindingsSeveral results were obtained based on the methodology used, highlighting some: an example of a summarization using an automated process; dependency parsing; the most common topics in each corpus; the forty named entities and the most common slogans were extracted, highlighting those linked to public security.Research limitations/implicationsSome critical tasks were identified for the research perspective, related to the applied methodology: the treatment of noise from obtaining news on their source websites, passing through textual elements quite present in social network posts such as abbreviations, emojis/emoticons, and even writing errors; the treatment of subjectivity, to eliminate noise from irony and sarcasm; the search for authentic news of issues within the target domain. All these tasks aim to improve the process to enable interested authorities to perform accurate analyses.Practical implicationsThe corpora dedicated to the public security domain enable several analyses, such as mining public opinion on security actions in a given location; understanding criminals' behaviors reported in the news or even on social networks and drawing their attitudes timeline; detecting movements that may cause damage to public property and people welfare through texts from social networks; extracting the history and repercussions of police actions, crossing news with records on social networks; among many other possibilities.Originality/valueThe work on behalf of the corpora reported in this text represents one of the first initiatives to create textual bases in Portuguese, dedicated to Brazil's specific public security domain.
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来源期刊
Library Hi Tech
Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.30
自引率
44.10%
发文量
97
期刊介绍: ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites
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