Turning from TF-IDF to TF-IGM for term weighting in text classification
K Chen, Z Zhang, J Long, H Zhang - Expert Systems with Applications, 2016 - Elsevier
Massive textual data management and mining usually rely on automatic text classification
technology. Term weighting is a basic problem in text classification and directly affects the …
technology. Term weighting is a basic problem in text classification and directly affects the …
Construction accident narrative classification: An evaluation of text mining techniques
YM Goh, CU Ubeynarayana - Accident Analysis & Prevention, 2017 - Elsevier
Learning from past accidents is fundamental to accident prevention. Thus, accident and near
miss reporting are encouraged by organizations and regulators. However, for organizations …
miss reporting are encouraged by organizations and regulators. However, for organizations …
Deep learning and network analysis: Classifying and visualizing accident narratives in construction
B Zhong, X Pan, PED Love, L Ding, W Fang - Automation in Construction, 2020 - Elsevier
If headway is to be made to improve safety performance in construction, then there is a need
to learn from past accidents. Accident reports provide a useful source of information to make …
to learn from past accidents. Accident reports provide a useful source of information to make …
[HTML][HTML] A personalised operation and maintenance approach for complex products based on equipment portrait of product-service system
Based on the holistic data of product-service system (PSS) delivery processes, equipment
portrait can be used to describe personalised user requirements and conduct targeted …
portrait can be used to describe personalised user requirements and conduct targeted …
A Comparative Study of Machine Learning and NLP Techniques for Uses of Stop Words by Patients in Diagnosis of Alzheimer's Disease
Alzheimer's Disease (AD) is one of the most common forms of neuropsychological disorder
in elderly people. It is a slow progressive disease affecting the brain cells. This affects the …
in elderly people. It is a slow progressive disease affecting the brain cells. This affects the …
Discriminative feature spamming technique for roman urdu sentiment analysis
Term weighting is one of the most commonly used approaches, which works by assigning
weights to terms, that aims to improve the performance of information retrieval or text …
weights to terms, that aims to improve the performance of information retrieval or text …
Language identification at the word level in code-mixed texts using character sequence and word embedding
People often switch languages in conversations or written communication in order to
communicate thoughts on social media platforms. The languages in texts of this type, also …
communicate thoughts on social media platforms. The languages in texts of this type, also …
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting
In software engineering, deep learning models are increasingly deployed for critical tasks
such as bug detection and code review. However, overfitting remains a challenge that …
such as bug detection and code review. However, overfitting remains a challenge that …
[HTML][HTML] Social media users' perceptions of a wearable mixed reality headset during the COVID-19 pandemic: aspect-based sentiment analysis
Background: Mixed reality (MR) devices provide real-time environments for physical-digital
interactions across many domains. Owing to the unprecedented COVID-19 pandemic, MR …
interactions across many domains. Owing to the unprecedented COVID-19 pandemic, MR …
[HTML][HTML] Classification and causes identification of Chinese civil aviation incident reports
Y Jiao, J Dong, J Han, H Sun - Applied Sciences, 2022 - mdpi.com
Safety is a primary concern for the civil aviation industry. Airlines record high-frequency but
potentially low-severity unsafe events, ie, incidents, in their reports. Over the past few …
potentially low-severity unsafe events, ie, incidents, in their reports. Over the past few …