CorTag

Author(s):  
Yves Kodratoff ◽  
Jérôme Azé ◽  
Lise Fontaine

This chapter argues that in order to extract significant knowledge from masses of technical texts, it is necessary to provide the field specialists with programming tools with which they themselves may use to program their text analysis tools. These programming tools, besides helping the programming effort of the field specialists, must also help them to gather the field knowledge necessary for defining and retrieving what they define as significant knowledge. This necessary field knowledge must be included in a well-structured and easy to use part of the programming tool. In this chapter, we present CorTag, a programming tool which is designed to correct existing tags in a text and to assist the field specialist to retrieve the knowledge and/or information he or she is looking for.

2021 ◽  
Author(s):  
César E. Montiel Olea ◽  
Leonardo R. Corral

Project Completion Reports (PCRs) are the main instrument through which different multilateral organizations measure the success of a project once it closes. PCRs are important for development effectiveness as they serve to understand achievements, failures, and challenges within the project cycle they can feed back into the design and execution of new projects. The aim of this paper is to introduce text analysis tools for the exploration of PCR documents. We describe and apply different text analysis tools to explore the content of a sample of PCRs. We seek to illustrate a way in which PCRs can be summarized and analyzed using innovative tools applied to a unique dataset. We believe that the methods presented in this investigation have numerous potential applications to different types of text documents routinely prepared within the Inter-American Development Bank (IDB).


2018 ◽  
Vol 57 (5) ◽  
pp. 1227-1259 ◽  
Author(s):  
Ioannis V. Vasilopoulos ◽  
Paul van Schaik

This article discusses the design and implementation of a new programming tool for Greek novices as a means to improve introductory programing instruction in Greece. We implemented Koios, a new highly interactive and visual programming tool for Greek novices, based on the body of research in the field of psychology of programming. The main contribution of this article is the empirical demonstration of the benefit of this tool in novice programming, compared with two other popular programming tools for Greek novices. The results show that users of Koios performed significantly better than users of the other two programming tools.


2020 ◽  
Vol 18 (1) ◽  
pp. 50-56
Author(s):  
Rahmat Prayogi ◽  
Bambang Riadi ◽  
Rian Andri Prasetya

Mass media is part of public space which cannot be seen as a mere passive hegemony. The discourse constructed by Tempo magazine reporters through Indonesiana is not completely neutral or naturally reporting news about corruption, and violations of the law. However, it has been influenced by the ideas or viewpoints of text writers (journalists) in responding to the events constructed in their reporting. This paper aims to show how the Fairclough text analysis tools work in dissecting dubious media texts.   Media masa merupakan bagian dari ruang publik yang tidak dapat dilihat sebagai alat hegemoni yang bersifat pasif semata. Wacana yang dikonstruksikan oleh wartawan majalah Tempo melalui Indonesiana tidak sepenuhnya netral atau alami melaporkan berita tentang korupsi, dan pelangggaran-pelanggaran hukum. Akan tetapi, telah dipengaruh oleh ide-ide atau sudut pandang penulis teks (wartawan) dalam menyingkapi peristiwa yang dikonstruksikan di dalam pemberitaannya. Tulisan ini memiliki tujuan untuk menunjukkan bagaimana alat-alat analisis teks model Fairclough bekerja dalam membedah teks-teks media yang dianggap meragukan.


Author(s):  
Lisa M. Given ◽  
Ali Grotkowski

This paper examines the use of text analysis tools by humanities scholars. The results of approximately 20 qualitative interviews with academics at different stages of career show both usability issues with current online tools and recommendations for future work in tool development. Implications for information system design are explored.Cette communication porte sur l’utilisation d’outils d’analyse de texte par les chercheurs en sciences humaines. Les résultats d’environ 20 entrevues qualitatives auprès d’universitaires à différents jalons de leur carrière relèvent des enjeux de convivialité d’utilisation pour les outils en ligne actuels et permettent de recommander des améliorations pour les outils. On y explore également les implications sur le design de systèmes d’information.


This chapter describe Concept Parsing Algorithms (CPA), a novel methodology of using text analysis tools for discovery of ‘building blocks' of concepts, with semantic searches of the full text of potentially relevant documents in relevant knowledge domains, for lexical labels of concepts in controlled vocabularies. The meaning of lexical label of a super-ordinate concept C' in a sublanguage with controlled vocabulary is encoded in a set that contains three sets of building blocks: Ci (set of co-occurring sub-ordinate concepts); Rj (set of relations); and Lk (set of linguistic elements/descriptors).


Author(s):  
Tami Oliphant ◽  
Ali Shiri

This paper reports on an investigation of user queriessubmitted to the Edmonton Public Library discoverysystem to identify seasonal and temporal queries.Using Google Analytics data and text analysis tools,this study examines how user queries change overtime, particularly during summer months, weekdaysand weekends.Cette étude rend compte d’une enquête sur lesrequêtes d’utilisateurs soumises au système derecherche de la Bibliothèque publique d’Edmontondans le but d’identifier les requêtes qui sontsaisonnières et marquées par le temps. Nous avonsutilisé les outils d’analyse de données et de texte deGoogle Analytics pour examiner la façon dont lesrequêtes des utilisateurs changent au fil du temps, enparticulier pendant les mois d’été, en semaine etpendant les fins de semaine.


2020 ◽  
Vol 58 (8) ◽  
pp. 1467-1493
Author(s):  
Yue Hu ◽  
Cheng-Huan Chen ◽  
Chien-Yuan Su

Block-based visual programming tools, such as Scratch, Alice, and MIT App Inventor, provide an intuitive and easy-to-use editing interface through which to promote programming learning for novice students of various ages. However, very little attention has been paid to investigating these tools’ overall effects on students’ academic achievement and the study features that may moderate the effects of block-based visual programming from a comprehensive perspective. Thus, the present study carried out a meta-analysis to systemically examine 29 empirical studies (extracting 34 effect sizes) using experimental or quasi-experiments involving the programming learning effects of employing block-based visual programming tools to date (until the end of 2019). The results showed a small to medium significant positive overall mean effect size (fixed-effect model g = 0.37; random-effects model g = 0.47) of the use of these block-based visual programming tools with respect to students’ academic achievement. Furthermore, the overall mean effect size was significantly affected by the educational stage, programming tool used, experimental treatment, and school location. Discussions and implications based on the findings are provided.


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