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Related papers: Tag Clouds for Software Documents Visualization

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This paper presents an analytical taxonomy that can suitably describe, rather than simply classify, techniques for data presentation. Unlike previous works, we do not consider particular aspects of visualization techniques, but their…

Cloud solutions are increasingly used for a plethora of purposes, including solving memory-intensive and computation-intensive problems. Ensuring the reliability, availability, scalability, and security of cloud solutions, as networked…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-26 Razieh Behjati , Ahmed Elmokashfi

Scattertext is an open source tool for visualizing linguistic variation between document categories in a language-independent way. The tool presents a scatterplot, where each axis corresponds to the rank-frequency a term occurs in a…

Computation and Language · Computer Science 2017-04-24 Jason S. Kessler

Tagging items with descriptive annotations or keywords is a very natural way to compress and highlight information about the properties of the given entity. Over the years several methods have been proposed for extracting a hierarchy…

Information Retrieval · Computer Science 2014-01-23 Gergely Tibély , Péter Pollner , Tamás Vicsek , Gergely Palla

The popularity of tag clouds has sparked significant interest in the geographic research community, leading to the development of map-based adaptations known as intrinsic tag maps. However, existing methodologies for tag maps primarily…

Human-Computer Interaction · Computer Science 2024-08-26 Zhiwei Wei , Nai Yang

We investigate the feasibility of high performance scientific computation using cloud computers as an alternative to traditional computational tools. The availability of these large, virtualized pools of compute resources raises the…

Materials Science · Physics 2009-01-05 J. J. Rehr , J. P. Gardner , M. Prange , L. Svec , F. Vila

Document clustering is an unsupervised approach in which a large collection of documents (corpus) is subdivided into smaller, meaningful, identifiable, and verifiable sub-groups (clusters). Meaningful representation of documents and…

Information Retrieval · Computer Science 2014-12-08 Muhammad Rafi , Farnaz Amin , Mohammad Shahid Shaikh

Document classification is considered a critical element in automated document processing systems. In recent years multi-modal approaches have become increasingly popular for document classification. Despite their improvements, these…

Computer Vision and Pattern Recognition · Computer Science 2024-12-16 Umar Khan , Saifullah , Stefan Agne , Andreas Dengel , Sheraz Ahmed

Source code summarization involves creating brief descriptions of source code in natural language. These descriptions are a key component of software documentation such as JavaDocs. Automatic code summarization is a prized target of…

Software Engineering · Computer Science 2022-04-05 Sakib Haque , Zachary Eberhart , Aakash Bansal , Collin McMillan

We report on the state-of-the-art of software visualization. To ensure reproducibility, we adopted the Systematic Literature Review methodology. That is, we analyzed 1440 entries from IEEE Xplore and ACM Digital Library databases. We…

Software Engineering · Computer Science 2020-06-23 Noptanit Chotisarn , Leonel Merino , Xu Zheng , Supaporn Lonapalawong , Tianye Zhang , Mingliang Xu , Wei Chen

Software comprehension, especially of new code bases, is time consuming for developers, especially in large projects with multiple functionalities spanning various domains. One strategy to reduce this effort involves annotating files with…

Software Engineering · Computer Science 2025-04-28 Cezar Sas , Andrea Capiluppi

In regions that practice common law, relevant historical cases are essential references for sentencing. To help legal practitioners find previous judgement easier, this paper aims to label each court judgement by some tags. These tags are…

Information Retrieval · Computer Science 2022-08-16 Yuchen Liu

Document retrieval systems have experienced a revitalized interest with the advent of retrieval-augmented generation (RAG). RAG architecture offers a lower hallucination rate than LLM-only applications. However, the accuracy of the…

Information Retrieval · Computer Science 2024-08-21 Kavsar Huseynova , Jafar Isbarov

With the rapid proliferation and increased sophistication of malicious software (malware), detection methods no longer rely only on manually generated signatures but have also incorporated more general approaches like machine learning…

Machine Learning · Computer Science 2020-01-24 Felipe N. Ducau , Ethan M. Rudd , Tad M. Heppner , Alex Long , Konstantin Berlin

We study the problem of completing various visual document understanding (VDU) tasks, e.g., question answering and information extraction, on real-world documents through human-written instructions. To this end, we propose InstructDoc, the…

Computer Vision and Pattern Recognition · Computer Science 2024-01-25 Ryota Tanaka , Taichi Iki , Kyosuke Nishida , Kuniko Saito , Jun Suzuki

We are currently developing an innovative and visually-driven programming language called Omega.Although the Omega code is stored in text files, these files are not intended for manual editing or traditional printing.Furthermore, parsing…

Programming Languages · Computer Science 2024-08-29 Benoit Sonntag , Dominique Colnet

Zero-shot learning aims to recognize unseen objects using their semantic representations. Most existing works use visual attributes labeled by humans, not suitable for large-scale applications. In this paper, we revisit the use of documents…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Jihyung Kil , Wei-Lun Chao

In enterprise datasets, documents are rarely pure. They are not just text, nor just numbers; they are a complex amalgam of narrative and structure. Current Retrieval-Augmented Generation (RAG) systems have attempted to address this…

Artificial Intelligence · Computer Science 2026-01-16 Alex Dantart , Marco Kóvacs-Navarro

Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity. It allows cloud users to acquire or…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-15 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

Cloud-based visualization services have made visual analytics accessible to a much wider audience than ever before. Systems such as Tableau have started to amass increasingly large repositories of analytical knowledge in the form of…

Human-Computer Interaction · Computer Science 2020-08-19 Michael Oppermann , Robert Kincaid , Tamara Munzner