Enhancing Accuracy of Topic Sensitive PageRank Using Jaccard Index and Cosine Similarity

Rezvani, Mohammad; Hashemi, S. Mehdi

doi:10.1109/wi-iat.2012.166

Cited by 9 publications

(4 citation statements)

References 11 publications

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“…In the co-occurrence network, the keywords in the circles are connected by lines to illustrate the relevance. The larger the area of the circle, the more frequently the word appears in the source text, and the thicker the line connecting the two circles, the closer the relationship between the two subject words [55]. Comparing the high-frequency words for the green space experience theme (Tables 4 and 5) for the 1-2-point negative evaluation group before and during the pandemic revealed a large difference, with three recurring high-frequency nouns and four high-frequency adjectives.…”

Section: Text Mining Results and Analysismentioning

confidence: 99%

Use and Experience of Tourism Green Spaces in Ishigaki City before and during the COVID-19 Pandemic Based on Web Review Data

Yang

2023

Sustainability

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Urban Tourism Green Spaces (UTGSs) in Okinawa are the most frequented areas by tourists and are an important part of the area’s unique tourism image and brand value. This study selected 40 UTGSs in Ishigaki City, Okinawa, for comparative analysis before the COVID-19 pandemic (January 2009–December 2019) and during the strict control period (January 2020–December 2021). Data on tourist reviews were collected in Python. Correlations were collated through Pearson correlation tests. Text-mining methods were used to examine tourist reviews to characterise changes in tourists’ use and experience of UTGSs amid the extreme hardship experienced by tourist cities during the pandemic. Visitors expressed positive emotions towards the green space, particularly in post-pandemic times, despite disruptions and uncertainties caused by travel restrictions. Rather than focusing on water activities as before, visitors preferred exploring the island’s hinterland areas with low crowd density and seeking spiritual comfort in open public spaces. This highlights the potential of these areas to be developed as a new tourism resource. This study’s findings will provide valuable insights for urban planners and tourism operators in developing effective crisis response strategies and guiding the development of urban tourism areas towards more appealing and sustainable destinations.

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Section: Text Mining Results and Analysismentioning

confidence: 99%

Use and Experience of Tourism Green Spaces in Ishigaki City before and during the COVID-19 Pandemic Based on Web Review Data

Yang

2023

Sustainability

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“…Although other methods could be used (i.e. Cosine Similarity, see Rezvani and Hashemi, 2012), when we employ pre-processing techniques such as lemmatisation, the text data is normalised, and the Jaccard Index efficiently captures similarities of concepts (Skorkovská, 2012).…”

Section: Methodsmentioning

confidence: 99%

Do Non-State Actors Influence Climate Change Policy? Evidence from the Brazilian Nationally Determined Contributions for COP21

Alves

Albuquerque

Ferreira

et al. 2021

Journal of Politics in Latin America

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Participation in democratic regimes has been a central issue in foreign policy (FP) studies. This article seeks to contribute to the empirical discussion about FP participation through the analysis of the public consultation process conducted by the Brazilian Ministry of Foreign Affairs with non-state actors in the context of the preparations for the Paris Climate Agreement (2015). We employed automated text analysis using Python and R qualifying open responses submitted to the questionnaire launched at the first round of the consultations process and comparing them to the official document presented by Brazil establishing its own carbon emission targets. We found that the Brazilian academia members had a relevant influence on the content of the final document presented by Brazil, strengthening the literature on the importance of the epistemic community to environmental politics and raising new questions on the paths of foreign policy influence.

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“…Using these feature sets, we propose Max Similarity to calculate the similarity between the feature sets of reviewers' papers and those of manuscripts. Max Similarity is the result of the arithmetic mean of Jaccard and cosine similarities [19].…”

Section: ) Expertise Check Algorithm Based On Max Similaritymentioning

confidence: 99%

An Algorithm for Peer Reviewer Recommendation Based on Scholarly Activity Assessment

2023

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Journal editors are putting a lot of effort into selecting appropriate reviewers for fair and reliable peer review of submitted manuscripts. Editors consider whether the reviewers have no affinity with any of the authors of manuscripts and have sufficient expertise in reviewing the manuscripts. The affinity can be evaluated by whether any of the reviewers has been a coauthor and/or a coworker in a common institution with any of the authors of the manuscript. The expertise depends on the similarity of the research topic between the reviewer's published papers and the submitted manuscripts. In this paper we propose an algorithm to recommend appropriate reviewers to editors, based on the assessment of these scholarly activities and achievements. To implement this algorithm, TextRank and GenSim library are used to extract feature sets from abstract and introduction sections of both submitted manuscripts and the reviewer candidates' papers. Based on the extracted feature sets, affinity and expertise check are implemented. An experiment has been conducted with a data set of over 1,000 papers in the field of DB research to evaluate the performance of this algorithm. The experiment consists of affinity check by using 2-mode network matrix operations and expertise check based on Max Similarity and/or topic clustering. Experimental results show that the recommendation algorithm is reasonable on the basis of scholarly activity assessment and achievements. Our method is designed to optimize the reviewer pool for each journal, client, and this algorithm is designed with an open license and has the advantage of being free to use and operate. In addition, our algorithm has the advantage of journal-specific optimization by designing to adjust the expertise of the reviewer selection and the weights for exclusion of interests to reflect journal-specific policies.

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Enhancing Accuracy of Topic Sensitive PageRank Using Jaccard Index and Cosine Similarity

Cited by 9 publications

References 11 publications

Use and Experience of Tourism Green Spaces in Ishigaki City before and during the COVID-19 Pandemic Based on Web Review Data

Use and Experience of Tourism Green Spaces in Ishigaki City before and during the COVID-19 Pandemic Based on Web Review Data

Do Non-State Actors Influence Climate Change Policy? Evidence from the Brazilian Nationally Determined Contributions for COP21

An Algorithm for Peer Reviewer Recommendation Based on Scholarly Activity Assessment

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