1,720,954 research outputs found
Analisis Sentimen Terhadap TikTok Shop Dengan K-Nearest Neighbor, Decision Tree, dan Naive Bayes
Full text linkIn the rapidly developing digital era, there are many applications that help human, one of which is TikTok. TikTok is an application that displays video that have various types of categories, TikTok has a marketplace feature, namely TikTok Shop. TikTok Shop is a feature that we can use to shop to fulfill our needs. The presence of the TikTok Shop feature makes people have opinions regarding this feature, some have positive and negative opinions. With the opinions of people about this TikTok Shop feature, research was conducted with three algorithms, namely K-Nearest Neighbor getting an accuracy result of 94%, Decision Tree with an accuracy of 96% and Naive Bayes with an accuracy of 98%. This research was conducted with the aim of providing good and easy to understand data related to TikTok Shop user opinions, which might be a basis for evaluation for TikTok Shop features to be better.Di era digital yang berkembang dengan cepat, banyak aplikasi yang membantu manusia, salah satunya ialah TikTok. TikTok merupakan sebuah aplikasi yang menampilkan video yang memiliki berbagai jenis kategori, TikTok juga terdapat fitur marketplace yaitu TikTok Shop. TikTok Shop merupakan sebuah fitur yang dapat kita gunakan untuk berbelanja dalam memenuhi kebutuhan kita. Hadirnya fitur TikTok Shop membuat orang-orang berpendapat terkait fitur tersebut, ada yang berpendapat positif dan juga negatif. Dengan adanya pendapat dari orang-orang tentang fitur TikTok Shop ini, dilakukan penelitian dengan tiga algoritma, yaitu K-Nearest Neighbor mendapatkan hasil akurasi sebesar 94%, Decision Tree dengan akurasi sebesar 96% dan Naive Bayes dengan akurasi sebesar 98%. Penelitian ini dilakukan dengan niat untuk menyediakan data yang baik dan mudah dimengerti terkait pendapat pengguna TikTok Shop, yang mungkin bisa menjadi landasan evaluasi untuk fitur TikTok Shop agar menjadi lebih baik
Analisis Sentimen Terhadap TikTok Shop Dengan K-Nearest Neighbor, Decision Tree, dan Naive Bayes
Full text linkDi era digital yang berkembang dengan cepat, banyak aplikasi yang membantu manusia, salah satunya adalah TikTok. TikTok merupakan aplikasi yang menampilkan video dengan berbagai jenis kategori, TikTok juga terdapat fitur marketplace, yaitu TikTok Shop. TikTok Shop merupakan sebuah fitur yang dapat digunakan untuk berbelanja dalam memenuhi kebutuhan. Hadirnya fitur TikTok Shop membuat orang-orang berpendapat terkait fitur tersebut, ada yang berpendapat positif dan juga negatif. Dengan adanya pendapat dari orang-orang tentang fitur TikTok Shop ini, dilakukan penelitian dengan tiga algoritma, yaitu K-Nearest Neighbor mendapatkan hasil akurasi sebesar 94%, Decision Tree dengan akurasi sebesar 96% dan Naive Bayes dengan akurasi sebesar 98%. Penelitian ini dilakukan untuk menyediakan data yang baik dan mudah dimengerti terkait pendapat pengguna TikTok Shop, sehingga dapat menjadi landasan evaluasi untuk perbaikan fitur TikTok Shop
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
