Data-to-Value: An Evaluation-First Methodology for Natural Language Projects
University of Zurich（苏黎世大学）；Thomson Reuters（汤森路透）；Essex University（埃塞克斯大学）；Coburg University of Applied Sciences（科堡应用科学大学）；University of Sheffield（谢菲尔德大学）
Big data, i.e. collecting, storing and processing of data at scale, has recently been possible due to the arrival of clusters of commodity computers powered by application-level distributed parallel operating systems like HDFS/Hadoop/Spark, and such infrastructures have revolutionized data mining at scale. For data mining project to succeed more consistently, some methodologies were developed (e.g. CRISP-DM, SEMMA, KDD), but these do not account for (1) very large scales of processing, (2) dealing with textual (unstructured) data (i.e. Natural Language Processing (NLP, "text analytics"), and (3) non-technical considerations (e.g. legal, ethical, project managerial aspects).
To address these shortcomings, a new methodology, called "Data to Value" (D2V), is introduced, which is guided by a detailed catalog of questions in order to avoid a disconnect of big data text analytics project team with the topic when facing rather abstract box-and-arrow diagrams commonly associated with methodologies.
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology using Natural Language Processing and Deep Learning for Smarter Decision Aid. Case study of restaurant choice using TripAdvisor reviews
Andalusian Research Institute in Data Science and Computational Intelligence（安达卢西亚数据科学与计算智能研究所）；University of Granada（格拉纳达大学）
Assessing the Applicability of Natural Language Processing to Traditional Social Science Methodology: A Case Study in Identifying Strategic Signaling Patterns in Presidential Directives
Spoken Language Dialogue Systems and Components: Best practice in development and evaluation (DISC 24823) - Periodic Progress Report 1: Basic Details of the Action
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
Zurich University of Applied Sciences (ZHAW)（苏黎世应用科学大学（ZHAW））；National Distance Education University (UNED)（国立远程教育大学（UNED））；University of the Basque Country (UPV/EHU)（巴斯克大学（UPV/EHU））
Efficiently Reusing Natural Language Processing Models for Phenotype-Mention Identification in Free-text Electronic Medical Records: Methodology Study
University of Edinburgh（爱丁堡大学）；Health Data Research（健康数据研究中心）；Nanjing University of Information Science & Technology（南京信息工程大学）；King’s College London（伦敦国王学院）；South London and Maudsley NHS Foundation Trust（南伦敦和莫兹利国民保健信托基金会）；The University of Melbourne（墨尔本大学）；Health Data Research UK（英国健康数据研究中心）；University College London（伦敦大学学院）
Unraveling Media Perspectives: A Comprehensive Methodology Combining Large Language Models, Topic Modeling, Sentiment Analysis, and Ontology Learning to Analyse Media Bias
Institute of IT Management and Digitization Research (IFID)（信息管理与数字化研究学院）
