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Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries

J. Kacprzyk, S. Zadrożny
2010 Bulletin of the Polish Academy of Sciences: Technical Sciences  
The use of linguistic summaries provides tools for the verbalization of data analysis (mining) results which, in addition to the more commonly used visualization e.g. via a GUI, graphical user interface  ...  We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the essence of data that may be relevant  ...  One of interesting and promising approaches meant for these purposes is to derive linguistic summaries of a set of data (database).  ... 
doi:10.2478/v10175-010-0034-2 fatcat:svw3w4qwinbwpj2gj2qpojpln4

Data mining in soft computing framework: a survey

S. Mitra, S.K. Pal, P. Mitra
2002 IEEE Transactions on Neural Networks  
Generally fuzzy sets are suitable for handling the issues related to understandability of patterns, incomplete/noisy data, mixed media information and human interaction, and can provide approximate solutions  ...  The present article provides a survey of the available literature on data mining using soft computing.  ...  Linguistic summaries of large sets of data are derived as linguistically quantified propositions with a degree of validity [47] .  ... 
doi:10.1109/72.977258 pmid:18244404 fatcat:wz6gxwj3mvgexl6slz3dl4q54i

Where are the Automatic Text Summaries Located in the 2021? A review

Jhonathan Quillo-Espino, Rosa-María Romero-González
2021 IJARCCE  
Its complexity consists in finding the most relevant information, different methods or perceptions have been developed through time for this matter.  ...  Research shows a detailed analysis of the execution, presenting the most representative characteristics of the automatic extractive summaries generation, being this one, one of the methods developed in  ...  This research aims to aid the understanding of new research concepts in the area by offering a summary of the main and current techniques used in automatic text summarization methods.  ... 
doi:10.17148/ijarcce.2021.10402 fatcat:zlyavxwtirb4taszfze444p64e

Linguistic Resumes in Software Engineering: The Case of Trend Summarization in Mobile Crash Reporting Systems

Konstantin Y. Degtiarev, Nikita V. Remnev
2016 Procedia Computer Science  
The construction of time series linguistic summaries is a topic that draws attention of researchers for many years.  ...  The program can be used in professional groups for discussions and rapid data analysis. Virtual mobile crash reporting system (MCRS) supplies the test input data used as an example.  ...  ., Zadro ny S. and Wilbik A. review the construction of linguistic summaries of data sets (databases) 3,4,5,6 .  ... 
doi:10.1016/j.procs.2016.09.378 fatcat:7pwqpiauybacjhlwykaaxgv4hy

Some Notes on Extracting Linguistic Summaries Built with Epistemic Modalities and Natural Language Connectives of Equivalence

Radosław Katarzyniak, Wojciech Lorkiewicz, Dominik Więcek
2017 Computational Methods in Science and Technology  
As the expected area of application we focus on the process of extraction of modal linguistic summaries from data managed by autonomous components of ambient systems and intelligent environments.  ...  Finally, we provide several illustrative computational examples of linguistic summaries' extraction, based on artificial and real data.  ...  S50013/K0803 -Methods of computational semiotics in the design and analysis of interactive systems.  ... 
doi:10.12921/cmst.2016.0000056 fatcat:5ee3zkqctvfirmtqj77mer75k4

Content Selection in Data-to-Text Systems: A Survey [article]

Dimitra Gkatzia
2016 arXiv   pre-print
Data-to-text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data.  ...  Rather than presenting data using visualisation techniques, data-to-text systems use natural (human) language, which is the most common way for human-human communication.  ...  It consists of two main components: a data analysis module that is responsible for content selection (Boyd, 1998) No content selection Weather database (Sripada et al., 2001) Two stage model: (1)  ... 
arXiv:1610.08375v1 fatcat:7p34eecwaja4xplphgwtxvorya

Empirically designing and evaluating a new revision-based model for summary generation

Jacques Robin, Kathleen McKeown
1996 Artificial Intelligence  
We present a system for summarizing quantitative data in natural language, focusing on the use of a corpus of basketball game summaries, drawn from on-line news services, to empirically shape the system  ...  Our initial corpus analysis revealed characteristics of textual summaries that challenge the capabilities of current language generation systems.  ...  This research was partially supported by a joint grant from the Office of Naval Research, by the Advanced Research Projects Agency under contract NOOO14-89-J-1782, by National Science Foundation Grants  ... 
doi:10.1016/0004-3702(95)00125-5 fatcat:xiamvmtelrhq5hrarekqicibkm

Corpus Linguistics for establishing the natural language content of Digital Library documents [chapter]

Robert P. Futrelle, Xiaolan Zhang, Yumiko Sekiya
1995 Lecture Notes in Computer Science  
Results are presented for the syntactic and semantic classification of words from a biological corpus.  ...  This brings with it a demand for ever-better methods for automated analysis of text to build the indexes and links.  ...  Acknowledgments This work was supported in part by a grant from the National Science Foundation, IRI-9117030, and by a Fulbright Senior Scholar grant (to RPF) for research in the United Kingdom, 1993  ... 
doi:10.1007/bfb0026855 fatcat:ebzlatifdzbapdlk5wmdfgfsxq

An efficient automated data analytics approach to large scale computational comparative linguistics [article]

Gabija Mikulyte, David Gilbert
2020 arXiv   pre-print
To explore which words exhibit more or less variation, which words are more preserved and examine how languages could be grouped based on linguistic distances within sets, several data analytics techniques  ...  These techniques lead to the development of a workflow which was later implemented by combining Unix shell scripts, a developed R package and SWI Prolog.  ...  Acknowledgements Gabija Mikulyte was supported by an undergraduate research grant from the Department of Computer Science at Brunel University London.  ... 
arXiv:2001.11899v1 fatcat:ef55esk2hva2vlu2eyojtkqkqe An Online Database of New Guinea Languages

Simon J. Greenhill, Niels O. Schiller
2015 PLoS ONE aims to collect data about these languages and place them online in a consistent format.  ...  However, the region is one of the world's least well studied, and primary data is scattered across a wide range of publications and more often then not hidden in unpublished "gray" literature.  ...  Malcolm Ross provided a large amount of language data from his collection. Annik van Toledo provided helpful comments on the manuscript.  ... 
doi:10.1371/journal.pone.0141563 pmid:26506615 pmcid:PMC4623503 fatcat:xwpbofad3fasphw5bnjvwld5ja

Anger recognition in speech using acoustic and linguistic cues

Tim Polzehl, Alexander Schmitt, Florian Metze, Michael Wagner
2011 Speech Communication  
We compare the obtained scores on three different databases. Two databases are taken from the IVR customer care domain, another database accounts for a WoZ data collection.  ...  For the IVR databases we obtain approximately 79% accuracy with respective .78 f1 over a baseline of 60% accurracy with respective .38 f1.  ...  Jackson Liscombe for their encouragement and support. The authors also wish to thank all colleagues at their respective laboratories for support and insightful discussions.  ... 
doi:10.1016/j.specom.2011.05.002 fatcat:oh2ibdzxp5enrjajitws6ksp6y

Emotion in Speech: Towards an Integration of Linguistic, Paralinguistic, and Psychological Analysis [chapter]

Stavroula-Evita Fotinea, Stelios Bakamidis, Theologos Athanaselis, Ioannis Dologlou, George Carayannis, Roddy Cowie, E. Douglas-Cowie, N. Fragopanagos, John G.
2003 Lecture Notes in Computer Science  
If speech analysis is to detect a speaker's emotional state, it needs to derive information from both linguistic information, i.e., the qualitative targets that the speaker has attained (or approximated  ...  Descriptions of emotionality are derived from these modules following psychological and linguistic research that indicates the information likely to be available.  ...  The first consists of a linguistic analysis system, which derives information from a word string, extracted as text from the signal.  ... 
doi:10.1007/3-540-44989-2_134 fatcat:noxj7e5dzvb5hg5zbliqm6d5ai

Meta-Analysis of Genomic Data: Between Strengths, Weaknesses and New Perspective

Spampinato AG, Cavallaro S
2016 International Journal of Biomedical Data Mining  
Meta-analysis of microarray data is one of the most common statistical techniques used for combining multiple data sets.  ...  This has led to the generation and accumulation of a large amount of genomic data that need to be adequately integrated to obtain more reliable and valid results than those from individual experiments.  ...  a good accuracy and reproducibility of the data derived from microarray experiments.  ... 
doi:10.4172/2090-4924.1000117 fatcat:vcjrwabe3faezfyo4au6jt7vii

A data-driven approach for extracting "the most specific term" for ontology development

Guergana K Savova, Marcelline Harris, Thomas Johnson, Serguei V Pakhomov, Christopher G Chute
2003 AMIA Annual Symposium Proceedings  
The algorithm is a combination of statistical and linguistic approaches.  ...  We present a data-driven approach to extract the "most specific" terms relevant to an ontology of functioning, disability and health.  ...  We would like to thank the experts, Hyeoneui Kim, Linda Herrick and Lori Rhudy, for their patience and expertise in marking the test sets and the four anonymous reviewers for their very helpful comments  ... 
pmid:14728239 pmcid:PMC1480306 fatcat:wmqcyo5obzhfdjjq4jp3lclm4e

First steps in the investigation of automated text annotation with pictures

Nick Cercone, J. Kent Poots
2017 Big Data & Information Analytics  
Annotation of text with pictures, a form of knowledge visualization, can assist understanding.  ...  The problem statement is, given a corpus of images and a short passage of text, extract knowledge (or concepts), and then display that knowledge in pictures along with the text to help with understanding  ...  Many questions and topics were identified for followup. The followup research questions include:  ... 
doi:10.3934/bdia.2017001 fatcat:7lfcuigds5glbafwk3b7mvmuhm
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