Risk Information Recommendation for Engineering Workers (original) (raw)

Algorithmically Exploiting the Knowledge Accumulated in Textual Domains for Technical Support

Matteo Iannitelli

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Automatic People Tagging for Expertise Profiling in the Enterprise

Mike Taylor

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Automatic definition of engineer archetypes: A text mining approach

Francesco Lupi

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Improving ontology-based text classification: An occupational health and security application

Nayat Sanchez-Pi

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Explainability through transparency and user control: a case-based recommender for engineering workers

Anne Liret

2018

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Advanced Data-driven Techniques for Mining Expertise

Milena Angelova

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Understanding engineering email: the development of a taxonomy for identifying and classifying engineering work

Linda Newnes

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Integrating Feature Analysis and Background Knowledge to Recommend Similarity Functions

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Evaluating Vector Representations of Short Text Data for Automating Recommendations of Maintenance Cases

Akshay Peshave

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Problem Classification for Tailored Helpdesk Auto-replies

Steve Battle

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Insights from a text mining survey on Expert Systems research from 2000 to 2016

Paulo Rita

Expert Systems, 2018

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Modeling Information Needs in Engineering Databases Using Tacit Knowledge

Alice Agogino

Journal of Computing and Information Science in Engineering, 2002

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Integrating Semantic Knowledge into Text Similarity and Information Retrieval

Max Mühlhäuser

International Conference on Semantic Computing (ICSC 2007), 2007

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A Domain Specific ESA Inspired Approach for Document Semantic Description

Luca Mazzola

2018 International Conference on Intelligent Systems (IS)

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Using ``Annotator Rationales'' to Improve Machine Learning for Text Categorization

Christine Piatko

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Extraction and Extended Analysis of Good Jobs from Safety Reports Using Text Mining - Focusing on the Voluntary Information Contributory to Enhancement of the Safety (VOICES) Data

Miwa Nakanishi

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Expertise identification using email communications

Byron Dom

Proceedings of the twelfth …, 2003

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Harnessing the expertise of 70,000 human editors: Knowledge-based feature generation for text categorization

Shaul Markovitch

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An Empirical Evaluation of Models of Text Document Similarity

Brandon Pincombe

2005

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Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining

Michel Gagnon

Informatics, 2013

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Subject Lines as Sensors: Co-word Analysis of Email to Support the Management of Collaborative Engineering Work

Lei Shi, Professor Ben Hicks, Chris Snider, Simon Jones, James Gopsill

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Improved Document Representation for Classification Tasks for the Intelligence Community

Svetlana Symonenko

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Term similarity and weighting framework for text representation

Robert Lothian, Nirmalie Wiratunga

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DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion

Al Hafiz Akbar Maulana Siagian

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An Exploratory Study into Automated Real-Time Categorisation of Engineering E-Mail

James Gopsill

International Conference on Systems, Man and Cybernetics (SMC 2013), 2013

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Representation models for text classification: a comparative analysis over three web document types

Konstantinos Tserpes

2012

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An Effective Ensemble of Deep and Machine Learning Methods for Classifying the Expertise Shape of CQA Users

Journal of Electrical and Computer Engineering Innovations

2024

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Feature engineering for text classification

Sam Scott

1999

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Machine learning-based automated classification of worker-reported safety reports in construction

Nikhil Bugalia

Journal of Information Technology in Construction, 2022

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Copy and paste as an indicator of relevance: Towards the development of intelligent recommender systems for software engineers

John Halloran

2012

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Computing Similarities between Natural Language Descriptions of Knowledge and Skills

Robert Farrell

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Semantic Similarity Strategies for Job Title Classification

Ozgur Ozturk

ArXiv, 2016

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Using Text Mining to Create Actionable Knowledge: Application to Network Failure Incident Reports

steve corman

Lecture Notes in Computer Science, 2004

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