4.7 Article

A multi-label text message classification method designed for applications in call/contact centre systems

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Transfer learning of fuzzy classifiers for optimized joint representation of simulated and measured data in anomaly detection of motor phase currents

Edwin Lughofer et al.

Summary: This paper proposes a joint representation learning approach based on fuzzy classifiers for transferring models from simulated data to real-measured data. The experimental results demonstrate significantly improved classification accuracies compared to conventional fuzzy classifiers and other machine learning classifiers in the context of anomaly detection in electrical machines.

APPLIED SOFT COMPUTING (2022)

Article Computer Science, Artificial Intelligence

An ensemble-based hotel recommender system using sentiment analysis and aspect categorization of hotel reviews

Biswarup Ray et al.

Summary: The study introduces a hotel recommendation system based on sentiment analysis and aspect-based review categorization, using machine learning models and algorithms to achieve high accuracy and classification performance.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

BerConvoNet: A deep learning framework for fake news classification

Monika Choudhary et al.

Summary: This paper presents a deep learning framework, BerConvoNet, for classifying news text as fake or real with minimal error. It uses Bidirectional Encoder Representations from Transformers to extract word embeddings and a multi-scale feature block for feature extraction. Experimental results show that BerConvoNet outperforms other models in various performance metrics.

APPLIED SOFT COMPUTING (2021)

Article Energy & Fuels

Risk Assessment in Energy Infrastructure Installations by Horizontal Directional Drilling Using Machine Learning

Maria Krechowicz et al.

Summary: Three machine learning models were developed to predict risks in HDD projects, with the Artificial Neural Network (ANN) showing the best performance. The ANN model proved to be efficient, fast, and robust in predicting risks in HDD projects, reducing the costs associated with the risk assessment process.

ENERGIES (2021)

Article Engineering, Multidisciplinary

Multi-Self-Attention for Aspect Category Detection and Biomedical Multilabel Text Classification with BERT

Xuelei Zhang et al.

Summary: Multilabel classification is a challenging task in natural language processing with diverse applications, requiring consideration of local information in sentences. This paper introduces a multilayer self-attention model combined with BERT pretraining, achieving competitive performance in aspect category detection and electronic medical records' classification.

MATHEMATICAL PROBLEMS IN ENGINEERING (2021)

Article Computer Science, Artificial Intelligence

A boosted SVM classifier trained by incremental learning and decremental unlearning approach

Rasha Kashef

Summary: Linear SVM classifiers use linear kernels, while non-linear SVM classifiers adopt non-linear kernels, with the former being faster to train. Training non-linear SVM classifiers efficiently remains a challenge in current research.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Automation & Control Systems

Extended state observer-based pressure control for pneumatic actuator servo systems

John Mohorcic et al.

Summary: The paper introduces an ESO-based SMC for accurate position control of a pneumatic actuator, utilizing an impedance control module and handling system uncertainties and disturbances. Simulation results show comparable performance to ADRC with the least control effort required among three controllers, and the stability of the ESO-based SMC is theoretically justified.

CONTROL THEORY AND TECHNOLOGY (2021)

Article Computer Science, Information Systems

Call Transcription Methodology for Contact Center Systems

Miroslaw Plaza et al.

Summary: One of the key areas of research on contact centre systems nowadays is their automation, with a focus on the impact of automatic speech recognition (ASR) systems on call transcription quality. The study suggests that less popular languages like Polish face challenges in achieving satisfactory automatic contact center call transcriptions, and improvements in quality can be achieved through preprocessing and postprocessing of speech recognition systems.

IEEE ACCESS (2021)

Article Computer Science, Information Systems

Influence of the Contact Center Systems Development on Key Performance Indicators

Miroslaw Plaza et al.

Summary: This paper discusses how the development pace of Contact Center systems affects selected Key Performance Indicators (KPIs). The technologies deployed in the industry, including IVR, chat, WebRTC, Visual IVR, Social Media, MultiChannel, OmniChannel, and bots, have contributed to the impact on KPIs. The authors also present possible trends in the development of solutions, particularly focusing on the potential of artificial intelligence to enhance Contact Center operations.

IEEE ACCESS (2021)

Article Computer Science, Information Systems

Sentiment analysis on the impact of coronavirus in social life using the BERT model

Mrityunjay Singh et al.

Summary: This paper conducts sentiment analysis on tweets from global and Indian users using the BERT model, with a validation accuracy of approximately 94%.

SOCIAL NETWORK ANALYSIS AND MINING (2021)

Article Computer Science, Artificial Intelligence

Six-DOF Spacecraft Optimal Trajectory Planning and Real-Time Attitude Control: A Deep Neural Network-Based Approach

Runqi Chai et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)

Article Engineering, Aerospace

Unsteady aerodynamic modeling based on fuzzy scalar radial basis function neural networks

Xu Wang et al.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING (2019)

Proceedings Paper Computer Science, Theory & Methods

A Semantics Aware Random Forest for Text Classification

Md Zahidul Islam et al.

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19) (2019)

Article Automation & Control Systems

Robust current and speed control of a permanent magnet synchronous motor using SMC and ADRC

Yang Zhao et al.

CONTROL THEORY AND TECHNOLOGY (2019)

Article Computer Science, Cybernetics

A Fuzzy Approach to Text Classification With Two-Stage Training for Ambiguous Instances

Han Liu et al.

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2019)

Article Computer Science, Information Systems

Improving random forests by neighborhood projection for effective text classification

Thiago Salles et al.

INFORMATION SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

A multi-view OVA model based on decision tree for multi-classification tasks

Xiaoqiang Guan et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Engineering, Aerospace

Multi-kernel neural networks for nonlinear unsteady aerodynamic reduced-order modeling

Jiaqing Kou et al.

AEROSPACE SCIENCE AND TECHNOLOGY (2017)

Article Biotechnology & Applied Microbiology

A Linear-RBF Multikernel SVM to Classify Big Text Corpora

R. Romero et al.

BIOMED RESEARCH INTERNATIONAL (2015)

Article Statistics & Probability

Text Mining Infrastructure inR

Ingo Feinerer et al.

Journal of Statistical Software (2015)

Article Computer Science, Artificial Intelligence

An extensive experimental comparison of methods for multi-label learning

Gjorgji Madjarov et al.

PATTERN RECOGNITION (2012)

Article Computer Science, Artificial Intelligence

On strategies for imbalanced text classification using SVM: A comparative study

Aixin Sun et al.

DECISION SUPPORT SYSTEMS (2009)

Article Computer Science, Information Systems

Understanding inverse document frequency: on theoretical arguments for IDF

S Robertson

JOURNAL OF DOCUMENTATION (2004)

Article Computer Science, Artificial Intelligence

Independent component analysis:: algorithms and applications

A Hyvärinen et al.

NEURAL NETWORKS (2000)