Latent semantic indexing (LSI) and its impact on copywriting

N. Blynova
{"title":"Latent semantic indexing (LSI) and its impact on copywriting","authors":"N. Blynova","doi":"10.15421/291901","DOIUrl":null,"url":null,"abstract":"Latent semantic indexing (LSI) is becoming more and more popular in copywriting, gradually replacing texts written on the principles of SEO. LSI was called in the 2010s, when popular search engines switched to a qualitatively new way of ranking materials and sites. The difference between SEO and LSI ways of creation lies in the fact that search engines rank SEO materials by keywords, while LSI are ranked how fully the topic is covered and how useful the article will be to the reader. Consequently, in addition to keywords and phrases, the associative core is involved here. Materials written for people have replaced the texts created for the search engine. The article describes the algorithm for creation of the associative and thematic core, the ways in which this can be done. The basic steps helping to create an LSI text are also shown.The author underlines that due to the specificity of the presentation of a significant amount of information and the maximum expertise in the disclosure of the topic, text writers accustomed to working on the principles of SEO have to learn to write within a new paradigm. The owners of the websites that host articles created by LSI principles have discovered the advantages of this way of presenting information, since their resources have become better indexed and take the leading positions in search results. Such algorithms as “Baden-Baden”, “Korolev” and “Panda” have positively influenced the Internet environment as a whole, since re-optimized texts, which were filled with keys and were of little use to the reader, now have turned out to be on the last positions of issue. The new method of ranking according to the LSI method allows specialists to create the texts that are not only useful and expert but also differ in lexical richness, using expressive and figurative means of the language, which could not be assumed in SEO materials.It is highlighted in the article the use of neural networks should bring the way of presenting information to the consumer’s needs even more, inventing techniques that will allow leading materials created in an ordinary language to lead the positions without the need to incorporate key phrases into the text. We believe that the LSI-method, which has perfectly manifested itself in copywriting, is capable of unlocking the potential of the media texts, which are now being written on the principles of SEO.","PeriodicalId":360057,"journal":{"name":"Communications and Communicative Technologies","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications and Communicative Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15421/291901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Latent semantic indexing (LSI) is becoming more and more popular in copywriting, gradually replacing texts written on the principles of SEO. LSI was called in the 2010s, when popular search engines switched to a qualitatively new way of ranking materials and sites. The difference between SEO and LSI ways of creation lies in the fact that search engines rank SEO materials by keywords, while LSI are ranked how fully the topic is covered and how useful the article will be to the reader. Consequently, in addition to keywords and phrases, the associative core is involved here. Materials written for people have replaced the texts created for the search engine. The article describes the algorithm for creation of the associative and thematic core, the ways in which this can be done. The basic steps helping to create an LSI text are also shown.The author underlines that due to the specificity of the presentation of a significant amount of information and the maximum expertise in the disclosure of the topic, text writers accustomed to working on the principles of SEO have to learn to write within a new paradigm. The owners of the websites that host articles created by LSI principles have discovered the advantages of this way of presenting information, since their resources have become better indexed and take the leading positions in search results. Such algorithms as “Baden-Baden”, “Korolev” and “Panda” have positively influenced the Internet environment as a whole, since re-optimized texts, which were filled with keys and were of little use to the reader, now have turned out to be on the last positions of issue. The new method of ranking according to the LSI method allows specialists to create the texts that are not only useful and expert but also differ in lexical richness, using expressive and figurative means of the language, which could not be assumed in SEO materials.It is highlighted in the article the use of neural networks should bring the way of presenting information to the consumer’s needs even more, inventing techniques that will allow leading materials created in an ordinary language to lead the positions without the need to incorporate key phrases into the text. We believe that the LSI-method, which has perfectly manifested itself in copywriting, is capable of unlocking the potential of the media texts, which are now being written on the principles of SEO.
潜在语义索引及其对文案写作的影响
潜在语义索引(LSI)在文案写作中越来越受欢迎,逐渐取代了根据SEO原则编写的文本。LSI是在2010年代被命名的,当时流行的搜索引擎转向了一种定性的新方式来对材料和网站进行排名。SEO和LSI创建方式的区别在于搜索引擎通过关键词对SEO材料进行排名,而LSI则对主题的覆盖程度和文章对读者的有用程度进行排名。因此,除了关键词和短语,这里还涉及到联想核心。为人类编写的材料已经取代了为搜索引擎创建的文本。本文描述了创建关联和主题核心的算法,以及实现这一目标的方法。还显示了帮助创建LSI文本的基本步骤。作者强调,由于大量信息的呈现的特殊性和在主题披露的最大专业知识,习惯于在SEO原则工作的文本作者必须学会在一个新的范式内写作。网站的所有者,主机文章创建的LSI原则发现了这种方式呈现信息的优势,因为他们的资源已经成为更好的索引,并采取在搜索结果的领先地位。“Baden-Baden”、“Korolev”、“Panda”等算法对整个网络环境产生了积极的影响,因为重新优化的文本,原本充满了按键,对读者没有什么用处,现在却成了最后的议题。根据LSI方法的新排名方法允许专家创建文本,不仅有用和专业,而且在词汇丰富程度上有所不同,使用语言的表达和比喻的手段,这在SEO材料中是无法假设的。这篇文章强调,神经网络的使用应该使呈现信息的方式更加符合消费者的需求,发明技术,使在普通语言中创建的主要材料能够引导位置,而不需要将关键短语纳入文本。我们相信,在文案中完美体现的lsi方法能够释放媒体文本的潜力,这些文本现在都是根据SEO原则编写的。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信