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Text Categorization Comparison between Simple BPNN and Combinatorial Method of LSI and BPNN

Hemlata Tekwani, Mahak Motwani
2014 International Journal of Computer Applications  
This paper proposed a text categorization comparison between simple BPNN and Combinatorial method of LSI and BPNN.  ...  Here we implement combinatorial method of LSI and BPNN based technique for the classification of 20Newsgroup dataset which include categories of Sports, CS, and Medicine.  ...  Various results were computed by applying only BPNN algorithm firstly and Then Combinatorial method of BPNN and LSI was applied.  ... 
doi:10.5120/17138-7723 fatcat:q3cnicxrsbhapmh7qlihvii7re

Two Text Classifiers in Online Discussion: Support Vector Machine vs Back-Propagation Neural Network

E. Erlin, R. Rahmiati, Unang Rio
2014 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
SVM has been recognized as one of the best algorithm for text categorization. BPNN is also a popular categorization method that can handle linear and non linear problems and can achieve good result.  ...  The experimental result shows that for text message categorization in online discussion, the performances of SVM outperform BPNN in term of error rate and precision; and falls behind BPNN in term of recall  ...  Acknowledgment This work is supported by Ministry of National Education of the Republic of Indonesia and STMIK-AMIK Riau.  ... 
doi:10.12928/telkomnika.v12i1.17 fatcat:fpg5yzn4ajfddg4lhsret7wtl4

Two Text Classifiers in Online Discussion: Support Vector Machine vs Back-Propagation Neural Network

E. Erlin, R. Rahmiati, Unang Rio
2014 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
SVM has been recognized as one of the best algorithm for text categorization. BPNN is also a popular categorization method that can handle linear and non linear problems and can achieve good result.  ...  The experimental result shows that for text message categorization in online discussion, the performances of SVM outperform BPNN in term of error rate and precision; and falls behind BPNN in term of recall  ...  Acknowledgment This work is supported by Ministry of National Education of the Republic of Indonesia and STMIK-AMIK Riau.  ... 
doi:10.12928/telkomnika.v12i1.1798 fatcat:mwwygvlawfhlvoqbsbybr2y75a

A Review of Machine Learning Algorithms for Text-Documents Classification

Baharum Baharudin, Lam Hong Lee, Khairullah Khan
2010 Journal of Advances in Information Technology  
With the increasing availability of electronic documents and the rapid growth of the World Wide Web, the task of automatic categorization of documents became the key method for organizing the information  ...  This paper provides a review of the theory and methods of document classification and text mining, focusing on the existing literature.  ...  show that the modified methods enhanced the performance of the standard BPNN and were more efficient than the standard BPNN.  ... 
doi:10.4304/jait.1.1.4-20 fatcat:nx23oqf3gbgiha45s2enn2hqqq

A Review of Artificial Intelligence Algorithms in Document Classification

Adrian Bilski
2011 International Journal of Electronics and Telecommunications  
The automatic text categorization methods became essential in the information organization and data mining process.  ...  The following paper describes the most important techniques and methodologies used for the text classification.  ...  It was also shown that the text classification method modified in such a manner increases the efficiency of the standard BPNN classifier and provides better results.  ... 
doi:10.2478/v10177-011-0035-6 fatcat:wlxgznossrccrlaxlebhvhl4py

Detection of Optical Characters Using Text Structure Modeling

Miss Velantina Kapale, Prof. Mangesh Ghonge
2018 International Journal of Engineering & Technology  
In proposed system we employ the mixture of each genetic set of rules and the returned propagation neural community for text categorization additionally the usage of the textual content structure we will  ...  The basic use of back propagation(bp) neural network for textual content categorization and category in addition to type and could gather high everyday giant overall performance and accuracy.  ...  Acknowledgement I would sincerely like to thank our Professor Mangesh Ghonge, Department of Computer Engineering, SITRC, Nashik for his guidance, encouragement and the interest shown in this project by  ... 
doi:10.14419/ijet.v7i3.8.15228 fatcat:jrtgckn7vjbhpdg7ft3puifq3e

Performance Evaluation of Naive Bayes and Back Propagation Neural Network classifiers in gestational Diabetes Mellitus Classification

2020 International Journal of Emerging Trends in Engineering Research  
BPNN classifier is a type of ANN classifier that is developed for classification of GDM disease with accuracy estimation.  ...  The classification assessment methods Confusion Matrix (CM) and Balanced Error Rate(BER) are used to compare both the classification methodologies' efficiency and accuracy.  ...  Enhanced Naïve Bayes Classifier for GDM The NaïveBayes (NB) algorithm is an efficient and descriptive classification algorithm and is especially useful in large datasets.  ... 
doi:10.30534/ijeter/2020/868102020 fatcat:lfd42vnqvrf4vkqhjuyg7g556i

Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data

Sukhpal Kaur, Er. Mamoon Rashid
2016 Indian Journal of Science and Technology  
Text mining is the information which is used to store the data. Text mining is the combination of two words "text" and "mining".  ...  Web news mining is process of to get the most important information very quickly. Web news mining is the feature of text mining. Web news are becoming an important part of the internet user.  ...  In this paper, the authors made an efficient technique for detection of short-term hot topic 38 .  ... 
doi:10.17485/ijst/2016/v9i41/95598 fatcat:qfmbwwpsjrhd3nhogsq2jobfza

Text Classification and Classifiers:A Survey

Vandana Korde
2012 International Journal of Artificial Intelligence & Applications  
text classification, process of text classification as well as the overview of the classifiers and tried to compare the some existing classifier on basis of few criteria like time complexity, principal  ...  and performance.  ...  This review focused on the existing literature and explored the documents representation and an analysis of feature selection methods and classification algorithms were presented.  ... 
doi:10.5121/ijaia.2012.3208 fatcat:e2emylmrtfasrli7azcapxty44

Financial Latent Dirichlet Allocation (FinLDA): Feature extraction in text and data mining for financial time series prediction

Nont Kanungsukkasem, Teerapong Leelanupab
2019 IEEE Access  
This paper introduces a topic model based on latent Dirichlet allocation (LDA) to discover features from a combination of text, especially news articles and financial time series, denoted as Financial  ...  The features from FinLDA are served as additional input features for any machine learning algorithm to improve the prediction of the financial time series.  ...  Moreover, Griffiths and Steyvers [38] showed that Gibbs sampling was empirically the most efficient method for static topic models. III.  ... 
doi:10.1109/access.2019.2919993 fatcat:dh25yqyfdjdnrjeim6enzyeuue

Down syndrome detection using modified adaboost algorithm

Vincy Devi V. K, Rajesh R.
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
Solid geometric descriptor is employed for extracting the facial features from the image set. An AdaBoost method is practiced to gather the required data sets and for the categorization.  ...  The extracted information is then assigned and used to instruct the Neural Network using Backpropagation algorithm.  ...  So, for generating more accurate solutions, what is required is an efficient dataset. In this work, an enhanced AdaBoost algorithm is proposed for finding the different magnitude of DS.  ... 
doi:10.11591/ijece.v11i5.pp4281-4288 fatcat:4drxgw3zjneg5cwn2anrtdc3r4

Acceptability of Artificial Intelligence in Poultry Processing and Classification Efficiencies of Different Classification Models in the Categorisation of Breast Fillet Myopathies

Aftab Siddique, Samira Shirzaei, Alice E. Smith, Jaroslav Valenta, Laura J. Garner, Amit Morey
2021 Frontiers in Physiology  
Supervised learning algorithms, such as SVM and BPNN, can be combined with BIA and successfully implemented in poultry processing to detect breast fillet myopathies.  ...  Compared with the LDA analysis, SVM separated WB with a higher accuracy of 71.04% for normal (data for normal and mild merged), 59.99% for moderate, and 81.48% for severe WB.  ...  the BIA method combined with conventional algorithms.  ... 
doi:10.3389/fphys.2021.712649 pmid:34630138 pmcid:PMC8493215 fatcat:43ggt5zshvee3fans4god2cnuu

Prediction of Learner's Profile based on Learning Styles in Adaptive E-learning System

Sucheta V Kolekar, Radhika M Pai, Manohara Pai M M
2017 International Journal of Emerging Technologies in Learning (iJET)  
In this paper, a method is proposed where the learning behavior of the learner is captured using web logs and the learning styles are categorized according to Felder-Silverman Learning Style Model (FSLSM  ...  The algorithm is validated on the captured data and compared using various metrics with the basic BPNN algorithm. The result shows that the performance of GSBPNN algorithm is better than BPNN.  ...  The mechanism modifies K-Nearest Neighbor (k-NN) classification algorithm and combines it with Genetic Algorithms (GAs).  ... 
doi:10.3991/ijet.v12i06.6579 fatcat:iyzx3oo6vjbllbsmxbja4mypze

Comprehensive Comparative Study of Multi-Label Classification Methods [article]

Jasmin Bogatinovski, Ljupčo Todorovski, Sašo Džeroski, Dragi Kocev
2021 arXiv   pre-print
Second, the datasets cover a wide range of complexity and domains of application. The selected evaluation measures assess the predictive performance and the efficiency of the methods.  ...  Several studies provide reviews of methods and datasets for MLC and a few provide empirical comparisons of MLC methods. However, they are limited in the number of methods and datasets considered.  ...  Based on the discussion and all of the empirical evidence presented, we select RFPCT and BPNN as the best performing group of algorithm adaptation methods.  ... 
arXiv:2102.07113v2 fatcat:jtjefamw35fetjtnatmjvjl544

Textual Emotional Tone and Financial Crisis Identification in Chinese Companies: A Multi-Source Data Analysis Based on Machine Learning

Zhishuo Zhang, Manting Luo, Zhaoting Hu, Huayong Niu
2022 Applied Sciences  
The emotional tones of the two texts are used as external and internal information sources for listed companies, respectively, to measure whether they can improve the prediction accuracy of a financial  ...  Based on textual data, this paper proposes a web crawler and textual analysis, to assess the sentiment and tone of financial news texts and that of the management discussion and analysis (MD&A) section  ...  The BPNN is a widely used neural network model, consisting of an input layer, an implicit layer and an output layer.  ... 
doi:10.3390/app12136662 fatcat:ga7iiqxlwvfwndu5idalvzlsx4
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