Text preprocessing for text mining in organizational research: Review and recommendations
Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …
voluminous natural language text data created by organizations, their employees, and their …
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future …
Schizophrenia (SZ) is a mental disorder that typically emerges in late adolescence or early
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
adulthood. It reduces the life expectancy of patients by 15 years. Abnormal behavior …
An enhanced hybrid feature selection technique using term frequency-inverse document frequency and support vector machine-recursive feature elimination for …
Sentiment classification is increasingly used to automatically identify a positive or negative
sentiment in a text review. In classification, feature selection had always been a critical and …
sentiment in a text review. In classification, feature selection had always been a critical and …
Deep learning-based classification of news texts using doc2vec model
The rapid increment in internet usage has also resulted in bulk gerenation of text data.
Therefore, investigation of new techniques for automatic classification of textual content is …
Therefore, investigation of new techniques for automatic classification of textual content is …
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Abstract Computer Aided Diagnosis systems assist radiologists and doctors in the early
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
diagnosis of mental disorders such as Alzheimer's, bipolar disorder, depression, autism …
[PDF][PDF] Multi-class document classification using support vector machine (SVM) based on improved Naïve bayes vectorization technique
At present several vectorization approaches are used to transform text documents into a
numerical format. A huge number of features converted from text data from a single …
numerical format. A huge number of features converted from text data from a single …
Enhancing text classification by graph neural networks with multi-granular topic-aware graph
Y Gu, Y Wang, HR Zhang, J Wu, X Gu - IEEE Access, 2023 - ieeexplore.ieee.org
Text classification based on graph neural networks (GNNs) has been widely studied by
virtue of its potential to capture complex and across-granularity relations among texts of …
virtue of its potential to capture complex and across-granularity relations among texts of …
Deep refinement: capsule network with attention mechanism-based system for text classification
Most of the text in the questions of community question–answering systems does not consist
of a definite mechanism for the restriction of inappropriate and insincere content. A given …
of a definite mechanism for the restriction of inappropriate and insincere content. A given …
A feature selection and classification method for activity recognition based on an inertial sensing unit
S Fan, Y Jia, C Jia - Information, 2019 - mdpi.com
The purpose of activity recognition is to identify activities through a series of observations of
the experimenter's behavior and the environmental conditions. In this study, through feature …
the experimenter's behavior and the environmental conditions. In this study, through feature …
Indonesian Sentiment Analysis: An Experimental Study of Four Kernel Functions on SVM Algorithm with TF-IDF
PH Prastyo, I Ardiyanto… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Recently, Indonesian sentiment analysis is a hot research field, especially for twitter data.
Many approaches can be used to classify people's sentiment on Twitter. One of the best …
Many approaches can be used to classify people's sentiment on Twitter. One of the best …