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Text Titling Application

Cédric Lopez, Violaine Prince, Mathieu Roche
2010 International Conference Knowledge Engineering and Knowledge Management  
This paper deals with an application allowing the automatic titling of texts.  ...  This one consists of four stages: Corpus acquisition, candidate sentence determination for the titling, extraction of noun phrases among the candidate sentences, and finally the choice of the title.  ...  . • C: The text area has to receive the text to title.  ... 
dblp:conf/ekaw/LopezPR10 fatcat:cpwky5oanbbj7iocrfi7ttglpe

Text Mining to Facilitate Domain Knowledge Discovery [chapter]

Chengbin Wang, Xiaogang Ma
2019 Text Mining - Analysis, Programming and Application [Working Title]  
Text mining based on natural language processing (NLP) provides the necessary method and technology to analyze unstructured geological literature.  ...  In this book chapter, we will review the latest researches of text mining in the domain of geoscience and present results from a few case studies.  ...  Comparing with other disciplines, the domain of geoscience still has limited applications of NLP and text mining.  ... 
doi:10.5772/intechopen.85362 fatcat:opipq2cyhrfmjdnw2rewku7spy

Tagging and Tag Recommendation [chapter]

Fabiano Belém, Jussara Almeida, Marcos Gonçalves
2019 Text Mining - Analysis, Programming and Application [Working Title]  
., videos, texts) in Web 2.0 applications.  ...  Moreover, recent studies have demonstrated that among other textual features such as title, description, and user comments, tags are the most effective to support information retrieval (IR) services such  ...  Tagging has become a common feature available in these applications, consisting in associating freely created tags (keywords) to objects (e.g., videos, images, texts).  ... 
doi:10.5772/intechopen.82242 fatcat:rn5xcdkpkjaffm32tal7cehx5u

Applications of Mining Arabic Text: A Review [chapter]

Qasem Al-Radaideh
2020 Recent Trends in Computational Intelligence [Working Title]  
Since the appearance of text mining, the Arabic language gained some interest in applying several text mining tasks over a text written in the Arabic language.  ...  These tasks include Arabic text summarization, which is one of the challenging open areas for research in natural language processing (NLP) and text mining fields, Arabic text categorization, and Arabic  ...  These applications are text categorization, sentiment analysis, and text summarization.  ... 
doi:10.5772/intechopen.91275 fatcat:asmhxsm4brhqrkib2suambvco4

Text Mining for Internship Titles Clustering Using Shared Nearest Neighbor

Lisna Zahrotun
2017 Computer Engineering and Applications Journal  
During this study, we proposed an application to classify the internship titles by using a technique in text mining called Shared Nearest-Neighbor and Cosine Similarity.  ...  (5 titles);3)Archiving Applications (4 titles);4) Web Profile Implementation (3 titles); 5)Instructional Media for University Courses (3 titles); Multimedia (3 titles) and 6)Workshop & Training (3 titles  ...  CONCLUSION We have developed a text mining application that clusters the title of internship projects using Shared Nearest Neighbor and Cosine Similarity.  ... 
doi:10.18495/comengapp.v6i3.214 fatcat:tj74ennjbfh25ca6kc6p75fcz4

Text Mining for Industrial Machine Predictive Maintenance with Multiple Data Sources [chapter]

Giancarlo Nota, Alberto Postiglione
2021 Advances in Dynamical Systems Theory, Models, Algorithms and Applications [Working Title]  
It integrates physical devices and machinery with Text Mining technologies and allows the identification of anomalous behaviors, even of minimal entity, rarely perceived by other strategies in a machine  ...  Advances in Dynamical Systems Theory, Models, Algorithms and Applications Advances in Dynamical Systems Theory, Models, Algorithms and Applications  ...  Physically, we assume that each source message emitted by a machine tool is in a semi-structured text format (a sort of simplified JSON): that is, it is a succession of text fields, divided by a field  ... 
doi:10.5772/intechopen.96575 fatcat:zuwckn64xnh4lpzoomfzwfpfli

Combined Deep Learning and Traditional NLP Approaches for Fire Burst Detection Based on Twitter Posts [chapter]

Konstantinos-George Thanos, Andrianna Polydouri, Antonios Danelakis, Dimitris Kyriazanos, Stelios C.A. Thomopoulos
2019 Text Mining - Analysis, Programming and Application [Working Title]  
Deep learning is becoming very popular within different text applications involving text generalization, text summarization, and extracting text information.  ...  The proposed scheme utilizes a deep learning approach for analyzing the text of Twitter posts announcing fire bursts.  ...  In other words, it needs to be generally applicable to any domain, other than the one(s) used for conducting training and testing procedures.  ... 
doi:10.5772/intechopen.85075 fatcat:oj42fnwlvbb2baqfjzihrd3rce

Rubrique préparée par Fiammetta Namer Title : A text navigation system : modelling, architecture, development and applications of NaviTexte

Javier Couto
unpublished
Title : SemTAG, a platform for semantic construction with Tree Adjoining Grammars.  ...  En dernier lieu, diverses applications de la plate-forme logicielle NaviTexte à des cas réels d'utilisation ont été mises en oeuvre.  ... 
fatcat:ifdpmidkuzejnaqsyco7gld52q

Text Analysis of Chemistry Thesis and Dissertation Titles

Vincent F. Scalfani
2017 Issues in Science and Technology Librarianship  
Some of the most common terms appearing in chemistry thesis and dissertation titles included synthesis, spectra, reaction, application, mass spectra, and nuclear magnetic resonance.  ...  Text analysis scripts were written in both MATLAB and Mathematica and used to extract the most common words and phrases from the titles.  ...  To combine words in MATLAB, the syntax is as follows: data = regexprep(data,'\<application\>','application*'); data = regexprep(data,'\<applications\>','application*'); From Issues in Science and Technology  ... 
doi:10.29173/istl1700 fatcat:qrihngd2pfe77ipro7tbnaya54

Grant application: Top tips for a visually-successful application

Yoram Bar-Zeev
2019 Zenodo  
In this article, we'll review our top tips for acquiring a visually-successful grant application.  ...  It is common practice for the titles of each section to stand out from the text. This is achieved using different font size, color, underlining the title, etc.  ...  Point #1 -Proper use of titles and subtitles in the grant application Naturally, each proposal has an internal structure which is mapped out by sections and subsections.  ... 
doi:10.5281/zenodo.2598022 fatcat:rt26dt4majdnrj2ud3uyqjjknm

Testing the Application for Analyzing Structured Entities

Ion IVAN, Bogdan VINTILA
2011 Informatică economică  
The paper presents the testing process of the application for the analysis of structured text entities. The structured entities are presented.  ...  The steps of building the application for the analysis of structured text entities are presented. The objective of the testing process is defined.  ...  simple as possible so that all users can use it without problems; Step C -the steps of building structured text entities were defined; for this application six steps were identified: title definition,  ... 
doaj:31e825474588423bb763e5d0171f42ce fatcat:gbx7ajgwfjbebnmuzgr3cd7lji

The Role of Artificial Intelligence Applications in Real-life Clinical Practice: Systematic Review (Preprint)

Jiamin Yin, Kee Yuan Ngiam, Hock Hai Teo
2020 Journal of Medical Internet Research  
Regarding the evaluation outcomes, we found that 26 studies examined the performance of AI applications in clinical settings, 33 studies examined the effect of AI applications on clinician outcomes, 14  ...  Studies were included if they reported AI applications that had been implemented in real-world clinical settings.  ...  OR "implement"[Title/Abstract] OR "implementation"[Title/Abstract] OR "deploy"[Title/Abstract] OR "deployment"[Title/Abstract] OR "adoption"[Title/Abstract]) Filters: Full text, Bibliography, Biography  ... 
doi:10.2196/25759 pmid:33885365 fatcat:wzm333c2jbhuxch43oddhemcry

Shared Nearest Neighbour in Text Mining for Classification Material in Online Learning Using Mobile Application

Irawan Dwi Wahyono, Djoko Saryono, Hari Putranto, Khoirudin Asfani, Harits Ar Rosyid, Sunarti Sunarti, Mohd Murtadha Mohamad, Mohd Nihra Haruzuan Bin Mohamad Said, Gwo Jiun Horng, Jia-Shing Shih
2022 International Journal of Interactive Mobile Technologies  
This algorithm is text mining and Shared Nearest Neighbour (SSN) that is embedded in the mobile application to display the classification and the location of searching media in database online learning  ...  The algorithm is text mining and Shared Nearest Neighbour (SNN) Algorithm. The length of the title is processed by a text-mining algorithm and after that gives a weighting for each word in the title.  ...  The algorithm is text mining and Shared Nearest Neighbour (SNN) Algorithm. The length of the title is processed by a text-mining algorithm and after that gives a weighting for each word in the title.  ... 
doi:10.3991/ijim.v16i04.28991 fatcat:ndxbb2qlangrbgr64xhto7feki

Advances in miniature spectrometer and sensor development

Jouko Malinen, Anna Rissanen, Heikki Saari, Pentti Karioja, Mikko Karppinen, Timo Aalto, Kari Tukkiniemi, Mark A. Druy, Richard A. Crocombe
2014 Next-Generation Spectroscopic Technologies VII  
for transmitted wavelengths: = 2d/m Passband = 430 nm Click to edit Master title style Click to edit Master text styles Second level Third level Fourth level Fifth level 6 05/05/2014  ...  title style Click to edit Master text styles Second level Third level Fourth level Fifth level Competences and challenges for miniaturization High-precision alignment (passive or active  ... 
doi:10.1117/12.2053567 fatcat:ijxnrgcuw5aqjogoav2bfdmwoa

Comparison Jaccard similarity, Cosine Similarity and Combined Both of the Data Clustering With Shared Nearest Neighbor Method

Lisna Zahrotun
2016 Computer Engineering and Applications Journal  
Text Mining is the excavations carried out by the computer to get something new that comes from information extracted automatically from data sources of different text.  ...  By combining the two similarity is expected to increase the value of the similarity of the two titles.  ...  Text mining has penetrated in various fields including the field of security, biomedical, software and applications, online media applications, marketing applications, sentiment analysis and academic applications  ... 
doi:10.18495/comengapp.v5i1.160 fatcat:65b2xhbagfhezk5sruomavyc4y
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