Computer selection of keywords using word-frequency analysis

Purpose The voluntary simplification (VS) movement has stemmed from Western societies and gained momentum in the 1980s, but the trend has failed to become a primary perspective for most consumers. The accompanying concepts of conscious consumption, minimalism and accepting that sometimes “less is more” are still vivid in the digital era. The purpose of this study is to provide a deep and recent understanding of the consumer comments about minimalism in Turkey and examine their associations with the prominent themes in the VS literature. Design/methodology/approach Consumer comments posted on online platforms were analyzed by content analysis and word frequency analysis. Findings Consumer comments were in parallel to the themes in the VS literature and were classified under personal growth, material simplicity, sustainability, proper technology usage and self-sufficiency categories. Personal growth, material simplicity and sustainability were the first three dimensions mentioned. The prominent sub-themes that emerge from data were psychological well-being, inner peace, freedom, meaningful experiences and getting rid of belongings. A word frequency analysis pointed out that “life” and “owning” were the evident words in the personal growth category, “purchasing things” were mostly mentioned in the material simplicity category and “plastic litter” and “excessive consumption” were the prominent concerns in the sustainability category. Originality/value VS required further research in different national contexts. Besides, an analysis of the dimensions of VS was needed. This study contributes by providing recent and rich findings from a developing country, connecting them with the VS themes in the literature and suggesting a conceptual framework enriched by sub-themes that emerged from data.

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Computer Selection of Size-Biased Samples

The American Statistician ◽

10.1080/00031305.1989.10475649 ◽

1989 ◽

Vol 43 (3) ◽

pp. 168-171

Author(s):

David R. Fox

Keyword(s):

Biased Samples ◽

Computer Selection ◽

Selection Of

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Region-of-influence approach to a frequency analysis of heavy precipitation in Slovakia

Hydrology and Earth System Sciences ◽

10.5194/hess-12-825-2008 ◽

2008 ◽

Vol 12 (3) ◽

pp. 825-839 ◽

Cited By ~ 51

Author(s):

L. Gaál ◽

J. Kyselý ◽

J. Szolgay

Keyword(s):

Frequency Analysis ◽

Growth Curves ◽

Heavy Precipitation ◽

Regional Frequency Analysis ◽

Design Values ◽

Site Design ◽

Specific Alternative ◽

Method Yield ◽

Regional Frequency ◽

Selection Of

Abstract. The paper compares different approaches to regional frequency analysis with the main focus on the implementation of the region-of-influence (ROI) technique for the modelling of probabilities of heavy precipitation amounts in the area of the Western Carpathians. Unlike the conventional regional frequency analysis where the at-site design values are estimated within a fixed pooling group (region), the ROI approach as a specific alternative to focused pooling techniques makes use of flexible pooling groups, i.e. each target site has its own group of sufficiently similar sites. In this paper, various ROI pooling schemes are constructed as combinations of different alternatives of sites' similarity (pooling groups defined according to climatological characteristics and geographical proximity of sites, respectively) and pooled weighting factors. The performance of the ROI pooling schemes and statistical models of conventional (regional and at-site) frequency analysis is assessed by means of Monte Carlo simulation studies for precipitation annual maxima for the 1-day and 5-day durations in Slovakia. It is demonstrated that a) all the frequency models based on the ROI method yield estimates of growth curves that are superior to the standard regional and at-site estimates at most individual sites, and b) the selection of a suitable ROI pooling scheme should be adjusted to the dominant character of the formation of heavy precipitation.

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New Normal Policy: Promosi Kebijakan Pariwisata Dalam Rangka Percepatan Penanganan Dampak Covid-19

Jurnal Kepariwisataan: Destinasi, Hospitalitas dan Perjalanan ◽

10.34013/jk.v5i1.277 ◽

2021 ◽

Vol 5 (1) ◽

pp. 20-33

Author(s):

Dyah Mutiarin ◽

Sri Utami ◽

Janianton Damanik

Keyword(s):

Content Analysis ◽

Word Frequency ◽

Frequency Analysis ◽

Qualitative Content Analysis ◽

New Normal ◽

Health Safety

Covid 19 memunculkan ketidakpastian dan perubahan yang sangat konstan sehingga kebutuhaninformasi berupa kebijakan pemerintah menjadi sangat penting untuk disampaikan kepada masyarakat.Dalam makalah ini dideskripsikan mengenai kebijakan pemerintah bidang pariwisata, yaitu: programmitigasi dan pemulihan sektor pariwisata pada masa transisi kenormalan baru dalam rangka percepatanpenanganan dampak covid-19. Kebijakan pemerintah tersebut disampaikan kepada masyarakat melaluiakun media sosial official Kemenparekraf, salah satunya adalah akun twitter official @Kemenparekraf.Untuk mengetahui sejauh mana kesesuaian kebijakan yang disusun dan yang disampaikan kepadamasyarakat, dilakukan qualitative content analysis (QCA) terhadap akun @Kemenparekraf,menggunakan NVivo12 dengan fitur antara lain the management, word frequency analysis, dan visualisasidata informal. Dari 807 (delapan ratus tujuh) tweet akun @Kemenparekraf yang diposting sejak Juni s.dDesember 2020, hanya terdapat 3 (tiga) hashtag/kata yang dapat langsung menjelaskan kebijakan., yaitu#banggabuatanindonesia untuk kegiatan Anugerah Bangga Buatan Indonesia (BBI) 2020,#indonesiacare untuk Sertifikasi InDOnesia CARE (I Do Care), dan chse untuk Dukungan CHSE (Cleanliness,Health, Safety, Environment). Penggunaan hashtag/kata dalam tweet masih belum dapat menjelaskankebijakan secara keseluruhan. Penelitian ini dapat dilanjutkan dengan membandingkan target, outputprogram dan dampaknya kepada pelaku pariwisata dan ekonomi kreatif.

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