Bangla Document Categorization using Term Graph

Hassan, Enamul; Nazim,; Ahmed, Moudud

doi:10.5120/ijca2019919329

Cited by 2 publications

(5 citation statements)

References 8 publications

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“…Also, in work of Hassan et al. [21], position of a token was captured while calculating the similarity but they have not considered the relationship between two tokens based on the weighted edges.…”

Section: Results and Analysismentioning

confidence: 99%

“…Alam and Islam [20] utilised t f -id f in their work for extracting features and obtained 96% accuracy based on neural network as classifier. Hassan et al [21] proposed a text classification system based on term-graph model for categorising texts from 12 domains. They obtained an average accuracy of 90.99% using KNN algorithm.…”

Section: Performance Of Reported Systems On Our Datasetmentioning

confidence: 99%

“…In every scenario, it can be seen that standard t f -id f has been used whose disadvantage is already been discussed in Section. Also, in work of Hassan et al [21], position of a token was captured while calculating the similarity but they have not considered the relationship between two tokens based on the weighted edges.…”

Section: Performance Of Reported Systems On Our Datasetmentioning

confidence: 99%

“…Hassan et al. [21] proposed a text classification system based on term-graph model for categorising texts from 12 domains. They obtained an average accuracy of 90.99% using KNN algorithm.…”

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Hybrid approach for text categorization: A case study with Bangla news article

Dhar¹,

Mukherjee²,

Santosh

et al. 2023

Journal of Information Science

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The incredible expansion of online texts due to the Internet has intensified and revived the interest of sorting, managing and categorising the documents into their respective domains. This shows the pressing need for automatic text categorization system to assign a document into its appropriate domain. In this article, the focus is on showcasing the effectiveness of a hybrid approach that works elegantly by combining text-based and graph-based features. The hybrid approach was applied on 14,373 Bangla articles with 57,22,569 tokens collected from various online news corpora covering nine categories. This article also presents the individual application of both the features to explicate how they generally work. For classification purposes, the feature sets were passed through the Bayesian classification methods which yield satisfactory results with 98.73% accuracy for Naïve Bayes Multinomial (NBM). Also, to test the robustness and language independency of the system, the experiments were performed on two popular English datasets as well.

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Section: Results and Analysismentioning

confidence: 99%

Section: Performance Of Reported Systems On Our Datasetmentioning

confidence: 99%

Section: Performance Of Reported Systems On Our Datasetmentioning

confidence: 99%

“…Hassan et al. [21] proposed a text classification system based on term-graph model for categorising texts from 12 domains. They obtained an average accuracy of 90.99% using KNN algorithm.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid approach for text categorization: A case study with Bangla news article

Dhar¹,

Mukherjee²,

Santosh

et al. 2023

Journal of Information Science

View full text Add to dashboard Cite

show abstract

“…We can observe the correlation coefficient between all the variables and the runtime in the first row of the table . The correlation coefficient of the number of content DOM nodes variable is higher than 0.4, while the correlation coefficient of the standard deviation of the number of children of the element DOM nodes is close to 0. 35. These values state a clear relationship of these variables with the runtime of the algorithm.…”

Section: Runtime Analysismentioning

confidence: 97%

Information Retrieval Based on DOM Trees

Alarte Aleixandre

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Bangla Document Categorization using Term Graph

Cited by 2 publications

References 8 publications

Hybrid approach for text categorization: A case study with Bangla news article

Hybrid approach for text categorization: A case study with Bangla news article

Information Retrieval Based on DOM Trees

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