Stopwords in Technical Language Processing
arXiv:2006.02633 · doi:10.1371/journal.pone.0254937
Abstract
There are increasingly applications of natural language processing techniques for information retrieval, indexing and topic modelling in the engineering contexts. A standard component of such tasks is the removal of stopwords, which are uninformative components of the data. While researchers use readily available stopword lists which are derived for general English language, the technical jargon of engineering fields contains their own highly frequent and uninformative words and there exists no standard stopword list for technical language processing applications. Here we address this gap by rigorously identifying generic, insignificant, uninformative stopwords in engineering texts beyond the stopwords in general texts, based on the synthesis of alternative data-driven approaches, and curating a stopword list ready for technical language processing applications.
References in corpus (3)
Cited by in corpus (5)
- Opportunities for Large Language Models and Discourse in Engineering Design
- Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
- Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval
- Detection of fake news on CoViD-19 on Web Search Engines
- Helping Large Language Models Protect Themselves: An Enhanced Filtering and Summarization System