An efficient approach for textual data classification using deep learning
<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. Similarly, deep learning offers eno...
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2022
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| _version_ | 1864513560060624896 |
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| author | Abdullah Alqahtani (7128143) |
| author2 | Habib Ullah Khan (15862361) Shtwai Alsubai (17019126) Mohemmed Sha (15862368) Ahmad Almadhor (17019129) Tayyab Iqbal (17019132) Sidra Abbas (8699295) |
| author2_role | author author author author author author |
| author_facet | Abdullah Alqahtani (7128143) Habib Ullah Khan (15862361) Shtwai Alsubai (17019126) Mohemmed Sha (15862368) Ahmad Almadhor (17019129) Tayyab Iqbal (17019132) Sidra Abbas (8699295) |
| author_role | author |
| dc.creator.none.fl_str_mv | Abdullah Alqahtani (7128143) Habib Ullah Khan (15862361) Shtwai Alsubai (17019126) Mohemmed Sha (15862368) Ahmad Almadhor (17019129) Tayyab Iqbal (17019132) Sidra Abbas (8699295) |
| dc.date.none.fl_str_mv | 2022-09-15T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fncom.2022.992296 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/An_efficient_approach_for_textual_data_classification_using_deep_learning/24174228 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Machine learning text data machine learning deep learning text classification text categorization |
| dc.title.none.fl_str_mv | An efficient approach for textual data classification using deep learning |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. Similarly, deep learning offers enormous benefits for text classification since they execute highly accurately with lower-level engineering and processing. This paper employs machine and deep learning techniques to classify textual data. Textual data contains much useless information that must be pre-processed. We clean the data, impute missing values, and eliminate the repeated columns. Next, we employ machine learning algorithms: logistic regression, random forest, K-nearest neighbors (KNN), and deep learning algorithms: long short-term memory (LSTM), artificial neural network (ANN), and gated recurrent unit (GRU) for classification. Results reveal that LSTM achieves 92% accuracy outperforming all other model and baseline studies.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Computational Neuroscience<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fncom.2022.992296" target="_blank">https://dx.doi.org/10.3389/fncom.2022.992296</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_ba9a5b9ddfc9af3ec23291eea4dd5d27 |
| identifier_str_mv | 10.3389/fncom.2022.992296 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24174228 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | An efficient approach for textual data classification using deep learningAbdullah Alqahtani (7128143)Habib Ullah Khan (15862361)Shtwai Alsubai (17019126)Mohemmed Sha (15862368)Ahmad Almadhor (17019129)Tayyab Iqbal (17019132)Sidra Abbas (8699295)Information and computing sciencesMachine learningtext datamachine learningdeep learningtext classificationtext categorization<p dir="ltr">Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. Similarly, deep learning offers enormous benefits for text classification since they execute highly accurately with lower-level engineering and processing. This paper employs machine and deep learning techniques to classify textual data. Textual data contains much useless information that must be pre-processed. We clean the data, impute missing values, and eliminate the repeated columns. Next, we employ machine learning algorithms: logistic regression, random forest, K-nearest neighbors (KNN), and deep learning algorithms: long short-term memory (LSTM), artificial neural network (ANN), and gated recurrent unit (GRU) for classification. Results reveal that LSTM achieves 92% accuracy outperforming all other model and baseline studies.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Computational Neuroscience<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fncom.2022.992296" target="_blank">https://dx.doi.org/10.3389/fncom.2022.992296</a></p>2022-09-15T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fncom.2022.992296https://figshare.com/articles/journal_contribution/An_efficient_approach_for_textual_data_classification_using_deep_learning/24174228CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/241742282022-09-15T00:00:00Z |
| spellingShingle | An efficient approach for textual data classification using deep learning Abdullah Alqahtani (7128143) Information and computing sciences Machine learning text data machine learning deep learning text classification text categorization |
| status_str | publishedVersion |
| title | An efficient approach for textual data classification using deep learning |
| title_full | An efficient approach for textual data classification using deep learning |
| title_fullStr | An efficient approach for textual data classification using deep learning |
| title_full_unstemmed | An efficient approach for textual data classification using deep learning |
| title_short | An efficient approach for textual data classification using deep learning |
| title_sort | An efficient approach for textual data classification using deep learning |
| topic | Information and computing sciences Machine learning text data machine learning deep learning text classification text categorization |