Results 131 to 140 of about 119,353 (308)
Research Directions, Challenges and Issues in Opinion Mining
Rapid growth of Internet and availability of user reviews on the web for any product has provided a need for an effective system to analyze the web reviews.
Lu, Joan +2 more
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
A modular architecture for systematic text categorisation
This work examines and attempts to overcome issues caused by the lack of formal standardisation when defining text categorisation techniques and detailing how they might be appropriately integrated with each other.
Barnes, Andrew James
core
Text Mining and Topic Modeling in Education: Revealing Insights From Educational Textual Data
This book chapter explores the transformative potential of text mining and topic modeling in the field of education. With the exponential growth of digital educational content, the need for effective analysis and understanding of large-scale textual data
Sabamehr, M., Ekin, C.Ç.
core +1 more source
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Text- und Data Mining in der Literaturwissenschaft
Text- und Data Mining in der ...
Jannidis, Fotis (5494595) +1 more
core +1 more source
The Challenge of Handling Structured Missingness in Integrated Data Sources
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson +6 more
wiley +1 more source
Differentiating between data-mining and text-mining terminology
J.H. Kroeze, M.C. Matthee, T.J.D. Bothma
doaj +1 more source
Text and data mining for biomedical discovery. [PDF]
Gonzalez G +7 more
europepmc +1 more source
The analysis of a corpus of micro-blogs on the topic of the 2011 UK referendum about the Alternative Vote has been undertaken as a joint activity by text miners and social scientists.
Black, William +11 more
core

