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A toolkit for text extraction and analysis for natural language processing tasks
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| dc.contributor.author |
Sefara, Tshephisho J
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| dc.contributor.author |
Mbooi, Mahlatse S
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| dc.contributor.author |
Mashile, Katlego J
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Rambuda, Thompho
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| dc.contributor.author |
Rangata, Mapitsi R
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| dc.date.accessioned | 2022-12-11T14:33:45Z | |
| dc.date.available | 2022-12-11T14:33:45Z | |
| dc.date.issued | 2022-08 | |
| dc.identifier.citation | Sefara, T.J., Mbooi, M.S., Mashile, K.J., Rambuda, T. & Rangata, M.R. 2022. A toolkit for text extraction and analysis for natural language processing tasks. http://hdl.handle.net/10204/12565 . | en_ZA |
| dc.identifier.isbn | 978-1-6654-8422-0 | |
| dc.identifier.isbn | 978-1-6654-8421-3 | |
| dc.identifier.isbn | 978-1-6654-8423-7 | |
| dc.identifier.uri | DOI: 10.1109/icABCD54961.2022.9856269 | |
| dc.identifier.uri | http://hdl.handle.net/10204/12565 | |
| dc.description.abstract | Text extraction is an important part of natural language processing (NLP) tasks. Most NLP tasks like text classification, machine translation, text-to-speech, text-based language identification, text summarization, and named-entity recognition involve the use of textual data. Such data is limited for low-resourced languages making it difficult to experiment advanced NLP techniques on these languages. This paper presents a Python-based toolkit for text analysis and text extraction from different types of images, documents, and audio files. The toolkit is built as a library that has functions that can be imported and utilized for text extraction. | en_US |
| dc.format | Fulltext | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://ieeexplore.ieee.org/document/9856269 | en_US |
| dc.source | 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 4-5 August 2022 | en_US |
| dc.subject | Text recognition | en_US |
| dc.subject | Text categorization | en_US |
| dc.subject | Big data | en_US |
| dc.subject | Natural Language Processing | en_US |
| dc.subject | Machine translation | en_US |
| dc.subject | Data communication | en_US |
| dc.title | A toolkit for text extraction and analysis for natural language processing tasks | en_US |
| dc.type | Conference Presentation | en_US |
| dc.description.pages | 6 | en_US |
| dc.description.note | Due to copyright restrictions, the attached PDF file contains the preprint version of the published item. For access to the published version, please consult the publisher's website: https://ieeexplore.ieee.org/document/9856269 | en_US |
| dc.description.cluster | Next Generation Enterprises & Institutions | en_US |
| dc.description.impactarea | Data Science | en_US |
| dc.identifier.apacitation | Sefara, T. J., Mbooi, M. S., Mashile, K. J., Rambuda, T., & Rangata, M. R. (2022). A toolkit for text extraction and analysis for natural language processing tasks. http://hdl.handle.net/10204/12565 | en_ZA |
| dc.identifier.chicagocitation | Sefara, Tshephisho J, Mahlatse S Mbooi, Katlego J Mashile, Thompho Rambuda, and Mapitsi R Rangata. "A toolkit for text extraction and analysis for natural language processing tasks." <i>2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 4-5 August 2022</i> (2022): http://hdl.handle.net/10204/12565 | en_ZA |
| dc.identifier.vancouvercitation | Sefara TJ, Mbooi MS, Mashile KJ, Rambuda T, Rangata MR, A toolkit for text extraction and analysis for natural language processing tasks; 2022. http://hdl.handle.net/10204/12565 . | en_ZA |
| dc.identifier.ris | TY - Conference Presentation AU - Sefara, Tshephisho J AU - Mbooi, Mahlatse S AU - Mashile, Katlego J AU - Rambuda, Thompho AU - Rangata, Mapitsi R AB - Text extraction is an important part of natural language processing (NLP) tasks. Most NLP tasks like text classification, machine translation, text-to-speech, text-based language identification, text summarization, and named-entity recognition involve the use of textual data. Such data is limited for low-resourced languages making it difficult to experiment advanced NLP techniques on these languages. This paper presents a Python-based toolkit for text analysis and text extraction from different types of images, documents, and audio files. The toolkit is built as a library that has functions that can be imported and utilized for text extraction. DA - 2022-08 DB - ResearchSpace DP - CSIR J1 - 2022 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 4-5 August 2022 KW - Text recognition KW - Text categorization KW - Big data KW - Natural Language Processing KW - Machine translation KW - Data communication LK - https://researchspace.csir.co.za PY - 2022 SM - 978-1-6654-8422-0 SM - 978-1-6654-8421-3 SM - 978-1-6654-8423-7 T1 - A toolkit for text extraction and analysis for natural language processing tasks TI - A toolkit for text extraction and analysis for natural language processing tasks UR - http://hdl.handle.net/10204/12565 ER - | en_ZA |
| dc.identifier.worklist | 26284 | en_US |
