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A Framework for the Development of Automatic Annotation Tools of Online Customer Reviews
No full textA Framework for the Development of Automatic Annotation Tools of Online Customer Reviews
Full text link立命館大学博士(工学)doctoral thesi
A Text Segmentation Approach for Automated Annotation of Online Customer Reviews, Based on Topic Modeling
No full textOnline customer review classification and analysis have been recognized as an important problem in many domains, such as business intelligence, marketing, and e-governance. To solve this problem, a variety of machine learning methods was developed in the past decade. Existing methods, however, either rely on human labeling or have high computing cost, or both. This makes them a poor fit to deal with dynamic and ever-growing collections of short but semantically noisy texts of customer reviews. In the present study, the problem of multi-topic online review clustering is addressed by generating high quality bronze-standard labeled sets for training efficient classifier models. A novel unsupervised algorithm is developed to break reviews into sequential semantically homogeneous segments. Segment data is then used to fine-tune a Latent Dirichlet Allocation (LDA) model obtained for the reviews, and to classify them along categories detected through topic modeling. After testing the segmentation algorithm on a benchmark text collection, it was successfully applied in a case study of tourism review classification. In all experiments conducted, the proposed approach produced results similar to or better than baseline methods. The paper critically discusses the main findings and paves ways for future work
Analisis Topik pada Forum Pariwisata di Indonesia Menggunakan Latent Dirichlet Allocation
Full text linkDi era digital ini, data-data pariwisata di internet berkembang secara pesat. Jumlah data yang sangat besar ini dapat dimanfaatkan untuk meningkatkan proposisi nilai dalam pengembangan smart tourism. Indonesia sebagai salah satu tujuan utama pariwisata dunia memiliki banyak potensi pariwisata yang menarik turis dari berbagai demografis. Turis-turis ini sudah banyak menggunakan media internet seperti forum untuk membahas atau mengomentari pariwisata, khususnya di Indonesia. Penelitian ini bertujuan untuk menelaah topik pariwisata dari media forum di Indonesia. Data yang digunakan dalam penelitian ini diperoleh dari sebuah forum yaitu Kaskus dengan total 6.940 post dalam periode tahun 2008 hingga 2021. Pemodelan topik dilakukan menggunakan metode Latent Dirichlet Allocation (LDA). Topik dominan yang dihasilkan menggambarkan topik pariwisata seperti apa yang paling banyak dibahas di Indonesia. Topik populer yang ditemukan meliputi wisata alam, paket tur, hotel, kebudayaan, transportasi, sejarah, dan wisata laut. Klasterisasi topik dari penelitian ini memberikan wawasan tentang ekstraksi informasi dari review pariwisata di Indonesia
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
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