Vantage Point Latent Semantic Indexing for multimedia web document search

Srikanth, D.; Sakthivel, Seethalakshmi

doi:10.1007/s10586-017-1135-6

Cited by 5 publications

(2 citation statements)

References 18 publications

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“…To realise the reduction of time a researcher has to search for relevant articles, the methodology presented in this article would need to be incorporated into a search engine, and the clustering algorithm would need to be evaluated. In addition, Strikanth and Sakthivel [ 25 ] evaluated the speed and accuracy of a text clustering methodology using a multimedia web search engine. Therefore, future work related to this article would include incorporating the text clustering methodology in a search engine and evaluating its performance and speed.…”

Section: Discussionmentioning

confidence: 99%

Using text mining to glean insights from COVID-19 literature

Anderson

2021

Journal of Information Science

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The purpose of this study is to develop a text clustering–based analysis of COVID-19 research articles. Owing to the proliferation of published COVID-19 research articles, researchers need a method for reducing the number of articles they have to search through to find material relevant to their expertise. The study analyzes 83,264 abstracts from research articles related to COVID-19. The textual data are analysed using singular value decomposition (SVD) and the expectation–maximisation (EM) algorithm. Results suggest that text clustering can both reveal hidden research themes in the published literature related to COVID-19, and reduce the number of articles that researchers need to search through to find material relevant to their field of interest.

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Section: Discussionmentioning

confidence: 99%

Using text mining to glean insights from COVID-19 literature

Anderson

2021

Journal of Information Science

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“…The implementation of techniques such as Latent Semantic Indexing (LSI), has the purpose of finding hidden (latent) relationships between words (semantics) to improve the understanding of information (indexing) (Lahey, 2021), establishing, for example, that "home" is synonymous of "house", on the basis of their conceptual similarity (Srikanth and Sakthivel, 2019). Using semantically related keywords (LSI keywords) in SEO of a web page could help a search engine to understand its content meaning (Mathews, 2020).…”

Section: Evolution Of Search Engines: Content Quality and Abstract Optimizationmentioning

confidence: 99%

“Sustainability-contents SEO”: a semantic algorithm to improve the quality rating of sustainability web contents

Confetto

Covucci

2021

TQM

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PurposeFor companies that intend to respond to the modern conscious consumers' needs, a great competitive advantage is played on the ability to incorporate sustainability messages in marketing communications. The aim of this paper is to address this important priority in the web context, building a semantic algorithm that allows content managers to evaluate the quality of sustainability web contents for search engines, considering the current semantic web development.Design/methodology/approachFollowing the Design Science (DS) methodological approach, the study develops the algorithm as an artefact capable of solving a practical problem and improving the operation of content managerial process.FindingsThe algorithm considers multiple factors of evaluation, grouped in three parameters: completeness, clarity and consistency. An applicability test of the algorithm was conducted on a sample of web pages of the Google blog on sustainability to highlight the correspondence between the established evaluation factors and those actually used by Google.Practical implicationsStudying content marketing for sustainability communication constitutes a new field of research that offers exciting opportunities. Writing sustainability contents in an effective way is a fundamental step to trigger stakeholder engagement mechanisms online. It could be a positive social engineering technique in the hands of marketers to make web users able to pursue sustainable development in their choices.Originality/valueThis is the first study that creates a theoretical connection between digital content marketing and sustainability communication focussing, especially, on the aspects of search engine optimization (SEO). The algorithm of “Sustainability-contents SEO” is the first operational software tool, with a regulatory nature, that is able to analyse the web contents, detecting the terms of the sustainability language and measuring the compliance to SEO requirements.

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Semantically-enhanced information retrieval using multiple knowledge sources

Jiang

2020

Cluster Comput

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Vantage Point Latent Semantic Indexing for multimedia web document search

Cited by 5 publications

References 18 publications

Using text mining to glean insights from COVID-19 literature

Using text mining to glean insights from COVID-19 literature

“Sustainability-contents SEO”: a semantic algorithm to improve the quality rating of sustainability web contents

Semantically-enhanced information retrieval using multiple knowledge sources

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