Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text
Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings. English text is indeed a significant component of textual data and a signific...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
|
| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917423001885 |
| _version_ | 1797780676270882816 |
|---|---|
| author | Myagmarsuren Orosoo Santhakumar Govindasamy Narmandakh Bayarsaikhan Yaisna Rajkumari Gulnaz Fatma R. Manikandan B. Kiran Bala |
| author_facet | Myagmarsuren Orosoo Santhakumar Govindasamy Narmandakh Bayarsaikhan Yaisna Rajkumari Gulnaz Fatma R. Manikandan B. Kiran Bala |
| author_sort | Myagmarsuren Orosoo |
| collection | DOAJ |
| description | Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings. English text is indeed a significant component of textual data and a significant source of data for persons seeking data from other countries. This study enhances the text classification method currently in use using text classification depending upon English quality. By using an illustration of English quality-related text classification systems, the concept as well as execution of text classification systems is demonstrated, concluding the study on text classification algorithms. The main task of this article is to categorize, and analyze huge volumes of information in English text using technique of integrating qualitative. Therefore, the fundamental components of superior English compositions are attained using Lion Optimization Algorithm (LOA). Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) is utilized to classify the obtained texts. If there is a lot of training input, the typical English text classification method can easily display flaws like ambiguous characteristic elements. In light of such issues, the research suggests a quality-related English text classification approach based on convolutional neural network in order to enhance the precision and adaptability of English text classification. |
| first_indexed | 2024-03-12T23:47:21Z |
| format | Article |
| id | doaj.art-5ab04e78680543b2a332d26aedefefc6 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-03-12T23:47:21Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-5ab04e78680543b2a332d26aedefefc62023-07-14T04:28:29ZengElsevierMeasurement: Sensors2665-91742023-08-0128100852Performance analysis of a novel hybrid deep learning approach in classification of quality-related English textMyagmarsuren Orosoo0Santhakumar Govindasamy1Narmandakh Bayarsaikhan2Yaisna Rajkumari3Gulnaz Fatma4R. Manikandan5B. Kiran Bala6School of Humanities and Social Sciences, Mongolian National University of Education, Mongolia; Corresponding author.Department of Electronics and Communication Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, IndiaTheory and Methodology of Physical Education, Mongolian National University of Education, IndiaDept of Humanities and Social Sciences, NIT Hamirpur, IndiaDept of English Language Center Jazan University, Jazan, Saudi ArabiaVel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, 600062, Chennai, Tamil Nadu, IndiaDepartment of Artificial Intelligence and Data Science, K.Ramakrishnan College of Engineering, Trichy, Tamil Nadu, IndiaText classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings. English text is indeed a significant component of textual data and a significant source of data for persons seeking data from other countries. This study enhances the text classification method currently in use using text classification depending upon English quality. By using an illustration of English quality-related text classification systems, the concept as well as execution of text classification systems is demonstrated, concluding the study on text classification algorithms. The main task of this article is to categorize, and analyze huge volumes of information in English text using technique of integrating qualitative. Therefore, the fundamental components of superior English compositions are attained using Lion Optimization Algorithm (LOA). Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) is utilized to classify the obtained texts. If there is a lot of training input, the typical English text classification method can easily display flaws like ambiguous characteristic elements. In light of such issues, the research suggests a quality-related English text classification approach based on convolutional neural network in order to enhance the precision and adaptability of English text classification.http://www.sciencedirect.com/science/article/pii/S2665917423001885English text classificationPerformance analysisLion Optimization Algorithm (LOA)Convolutional Neural Network (CNN)Long Short Term Memory (LSTM) |
| spellingShingle | Myagmarsuren Orosoo Santhakumar Govindasamy Narmandakh Bayarsaikhan Yaisna Rajkumari Gulnaz Fatma R. Manikandan B. Kiran Bala Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text Measurement: Sensors English text classification Performance analysis Lion Optimization Algorithm (LOA) Convolutional Neural Network (CNN) Long Short Term Memory (LSTM) |
| title | Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text |
| title_full | Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text |
| title_fullStr | Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text |
| title_full_unstemmed | Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text |
| title_short | Performance analysis of a novel hybrid deep learning approach in classification of quality-related English text |
| title_sort | performance analysis of a novel hybrid deep learning approach in classification of quality related english text |
| topic | English text classification Performance analysis Lion Optimization Algorithm (LOA) Convolutional Neural Network (CNN) Long Short Term Memory (LSTM) |
| url | http://www.sciencedirect.com/science/article/pii/S2665917423001885 |
| work_keys_str_mv | AT myagmarsurenorosoo performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT santhakumargovindasamy performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT narmandakhbayarsaikhan performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT yaisnarajkumari performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT gulnazfatma performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT rmanikandan performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext AT bkiranbala performanceanalysisofanovelhybriddeeplearningapproachinclassificationofqualityrelatedenglishtext |