{"id":50596,"date":"2023-10-01T12:00:24","date_gmt":"2023-10-01T12:00:24","guid":{"rendered":"https:\/\/informaticsjournal.net\/?p=50596"},"modified":"2026-10-25T14:00:17","modified_gmt":"2026-10-25T14:00:17","slug":"chrononlp-%d8%a7%d8%b3%d8%aa%d9%83%d8%b4%d8%a7%d9%81-%d8%a7%d9%84%d9%85%d8%af%d9%88%d9%86%d8%a7%d8%aa-%d8%a7%d9%84%d9%86%d8%b5%d9%8a%d8%a9-%d9%88%d8%aa%d8%ad%d9%84%d9%8a%d9%84-%d8%aa%d8%ba%d9%8a","status":"publish","type":"post","link":"https:\/\/informaticsjournal.net\/?p=50596","title":{"rendered":"ChronoNLP: \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0645\u062f\u0648\u0646\u0627\u062a \u0627\u0644\u0646\u0635\u064a\u0629 \u0648\u062a\u062d\u0644\u064a\u0644 \u062a\u063a\u064a\u0631\u0647\u0627 \u0639\u0628\u0631 \u0627\u0644\u0632\u0645\u0646"},"content":{"rendered":"<p><strong>\u0645\u0642\u062f\u0645\u0629:<\/strong><\/p>\n<p>\u064a\u0634\u0645\u0644 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u064a 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\u0627\u0644\u062a\u0627\u0645\u0629 \u0644\u0644\u0643\u0644\u0645\u0629\u061b \u0648 test case \u064a\u0639\u064a\u062f \u0627\u0644\u0639\u0628\u0627\u0631\u0629 \u0643\u0627\u0645\u0644\u0629\u061b \u0648 test* \u064a\u062c\u0645\u0639 \u0641\u064a \u0639\u062f\u0651 \u0648\u0627\u062d\u062f \u0627\u0644\u0643\u0644\u0645\u0627\u062a \u0627\u0644\u062a\u064a \u062a\u0628\u062f\u0623 \u0628\u0640 test \u060c \u0645\u062b\u0644 test \u0648 testing \u061b \u0648^*test \u064a\u0639\u0631\u0636 \u0639\u062f\u0651\u064b\u0627 \u0645\u0646\u0641\u0635\u0644\u064b\u0627 \u0644\u0643\u0644 \u0643\u0644\u0645\u0629 \u062a\u0646\u062a\u0647\u064a \u0628\u0640 test \u060c \u0645\u062b\u0644 test \u0648 detest. \u0648\u064a\u0645\u0643\u0646 \u0627\u0644\u062c\u0645\u0639 \u0628\u064a\u0646 test* \u0648^*virus* \u0644\u0644\u062d\u0635\u0648\u0644 \u0639\u0644\u0649 \u0639\u062f\u0651 \u0645\u062c\u0645\u0639 \u0644\u0644\u0623\u0648\u0644 \u0648\u0639\u062f\u0651 \u0645\u0646\u0641\u0635\u0644 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\u0627\u0644\u0628\u064f\u0639\u062f \u0627\u0644\u0632\u0645\u0646\u064a\u060c \u0645\u0639 \u0648\u0638\u0627\u0626\u0641 \u0644\u062a\u0631\u0634\u064a\u062d \u0627\u0644\u0645\u0648\u0627\u062f \u0648\u0627\u0644\u0628\u062d\u062b \u0641\u064a\u0647\u0627 \u0648\u0627\u0633\u062a\u0643\u0634\u0627\u0641\u0647\u0627 \u0648\u062a\u0635\u0648\u064a\u0631\u0647\u0627 \u062a\u0641\u0627\u0639\u0644\u064a\u064b\u0627 \u0641\u064a \u0648\u0627\u062c\u0647\u0629 \u0633\u0647\u0644\u0629. \u0648\u064a\u0639\u0632\u0632 \u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0645\u0639 Streamlit \u0627\u0644\u0625\u062a\u0627\u062d\u0629 \u0648\u0627\u0644\u0645\u0639\u0627\u0644\u062c\u0629 \u0627\u0644\u0622\u0646\u064a\u0629\u060c \u0648\u064a\u062a\u064a\u062d \u062a\u062e\u0635\u064a\u0635 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0648\u0627\u0644\u062a\u0631\u0643\u064a\u0632 \u0639\u0644\u0649 \u0634\u0631\u0627\u0626\u062d \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a 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\u0627\u0644\u0646\u0635\u0648\u0635 \u0648\u062a\u062d\u0633\u0646 \u0643\u0641\u0627\u0621\u0629 \u0627\u0644\u0639\u0645\u0644 \u0648\u0641\u0627\u0639\u0644\u064a\u062a\u0647.<\/p>\n<p>\u0625\u062a\u0627\u062d\u0629 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a<\/p>\n<p>\u062c\u0645\u064a\u0639 \u0627\u0644\u0634\u064a\u0641\u0631\u0627\u062a \u0648\u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0623\u0633\u0627\u0633\u064a\u0629 \u0627\u0644\u0645\u0648\u0635\u0648\u0641\u0629 \u0641\u064a \u0627\u0644\u0645\u0642\u0627\u0644 \u0645\u062a\u0627\u062d\u0629 \u0641\u064a \u062d\u0633\u0627\u0628 \u0627\u0644\u0643\u0627\u062a\u0628 \u0627\u0644\u0639\u0627\u0645 \u0639\u0644\u0649 GitHub: https:\/\/github.com\/ewolfe1\/chronoNLP<\/p>\n<p>\u0627\u0644\u062d\u0648\u0627\u0634\u064a \u0648\u0627\u0644\u0645\u0631\u0627\u062c\u0639 \u0643\u0645\u0627 \u0648\u0631\u062f\u062a \u0641\u064a \u0627\u0644\u0623\u0635\u0644<\/p>\n<p>[1] Wolfe, E. (2023). ChronoNLP. https:\/\/chrononlp.streamlit.app\/<\/p>\n<p>[2] Some examples of other open NLP tools include: Sinclair, S., &amp; Rockwell, G. (2016). Voyant Tools. http:\/\/libvoyant.unm.edu\/docs\/#!\/guide\/about; Morgan, E., &amp; Abeysinghe, E., et al. (2019). The Distant Reader \u2013 Tool for Reading. PEARC \u201919, July 28-August 1, 2019, Chicago, IL, USA. https:\/\/doi.org\/10.1145\/3332186.3333260; Anthony, L. (2013). Developing AntConc for a new generation of corpus linguists. Proceedings of the Corpus Linguistics Conference (CL 2013), July 22-26, 2013. Lancaster University, UK, pp. 14-16. https:\/\/www.laurenceanthony.net\/research\/20130722_26_cl_2013\/cl_2013_paper_final.pdf<\/p>\n<p>[3] Streamlit Inc. (2023). Streamlit documentation. [accessed June 15, 2023] https:\/\/docs.streamlit.io\/<\/p>\n<p>[4] A collection of 3,753 news articles from six online publications in Douglas County, Kansas published between January 28, 2020 and January 31, 2022. Articles were collected from the public web sites of three city publications (The Lawrence Journal-World, The Lawrence Times, and The Eudora Times) and three student university publications (The University Daily Kansan, The Baker Orange, and The Indian Leader). Articles were identified as part of a University of Kansas Libraries web archiving project identifying online content relating to COVID-19.<\/p>\n<p>[5] A collection of 757 posts from the blog of the History of Black Writing (HBW) project at the University of Kansas, published between 2011 and 2021. Learn more about the HBW at https:\/\/hbw.ku.edu\/.<\/p>\n<p>[6] Documentation for the user on data preparation is included on the site: https:\/\/chrononlp.streamlit.app\/Upload_dataset<\/p>\n<p>[7] Honnibal, M., Montani, I., Van Landeghem, S., &amp; Boyd, A. (2020). spaCy: Industrial-strength Natural Language Processing in Python. http:\/\/doi.org\/10.5281\/zenodo.1212303<\/p>\n<p>[8] Loriah, S. (2023). TextBlob: Simplified Text Processing. https:\/\/textblob.readthedocs.io\/en\/dev\/<\/p>\n<p>[9] Stopwords are very common words that generally do not contribute to the understanding of the text, such as \u201ca\u201d, \u201cthe\u201d, \u201cwould\u201d, etc. It is a common practice in NLP tasks to remove stopwords and punctuation as part of the pre-processing of the texts to help reduce noise in the results.<\/p>\n<p>[10] Hansen, L., &amp; Enevoldsen, K. (2023). TextDescriptives: A Python package for calculating a large variety of statistics from text. arXiv preprint arXiv:2301.02057.<\/p>\n<p>[11] spaCy provides four English language pre-trained pipelines (simply, a sequence of processing steps or algorithms that can be applied to text data) for performing basic NLP tasks. Each of these varies in size, processing speed, required computational resources, and suitability for a given NLP action. ChronoNLP uses the smallest of these four, \u201cen_core_web_sm\u201d, as it is the fastest model and well-suited for the available Streamlit resources, and it performs as well as the other larger models for the basic tasks of ChronoNLP, such as POS and NER identification. More information about the models and their functionality is available in spaCy\u2019s documentation: https:\/\/spacy.io\/models and https:\/\/spacy.io\/models\/en\/.<\/p>\n<p>[12] N-grams are simply a sequence of n words. The use of n-grams is very common in many NLP tasks. C.f. https:\/\/machinelearningknowledge.ai\/generating-unigram-bigram-trigram-and-ngrams-in-nltk\/<\/p>\n<p>[13] Pedregosa, F., Varoquaux, G., Gramfort, A., et al. (2011). Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, 12, 2825-2830..<\/p>\n<p>[14] C.f. Kapadia, S. (2019). Evaluate Topic Models: Latent Dirichlet Allocation (LDA). Towards Data Science. https:\/\/towardsdatascience.com\/evaluate-topic-model-in-python-latent-dirichlet-allocation-lda-7d57484bb5d0<\/p>\n<p>[15] Rehurek, R., &amp; Sojka, P. (2010, May 22). Software Framework for Topic Modelling with Large Corpora. In Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks (pp. 45-50). Valletta, Malta: ELRA. http:\/\/doi.org\/10.13140\/2.1.2393.1847. See also https:\/\/radimrehurek.com\/gensim\/<\/p>\n<p><strong>\u0627\u0644\u0645\u0631\u0627\u062c\u0639:<\/strong><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>github.com\/ewolfe1\/chronoNLP<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>chrononlp.streamlit.app\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">http<span>:\/\/<\/span>libvoyant.unm.edu\/docs\/%23!\/guide\/about<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>doi.org\/10.1145\/3332186.3333260<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>www.laurenceanthony.net\/research\/20130722_26_cl_2013\/cl_2013_paper_final.pdf<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>docs.streamlit.io\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>hbw.ku.edu\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>chrononlp.streamlit.app\/Upload_dataset<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">http<span>:\/\/<\/span>doi.org\/10.5281\/zenodo.1212303<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>textblob.readthedocs.io\/en\/dev\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>spacy.io\/models<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>spacy.io\/models\/en\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>machinelearningknowledge.ai\/generating-unigram-bigram-trigram-and-ngrams-in-nltk\/<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>towardsdatascience.com\/evaluate-topic-model-in-python-latent-dirichlet-allocation-lda-7d57484bb5d0<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">http<span>:\/\/<\/span>doi.org\/10.13140\/2.1.2393.1847<\/span><\/p>\n<p dir=\"ltr\"><span dir=\"ltr\">https<span>:\/\/<\/span>radimrehurek.com\/gensim\/<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0645\u0642\u062f\u0645\u0629: \u064a\u0634\u0645\u0644 \u0627\u0644\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u062d\u0627\u0633\u0648\u0628\u064a \u0644\u0644\u0646\u0635\u0648\u0635 \u0637\u0631\u0627\u0626\u0642 \u0648\u0627\u0633\u062a\u0631\u0627\u062a\u064a\u062c\u064a\u0627\u062a \u064a\u0633\u062a\u062e\u062f\u0645\u0647\u0627 \u0627\u0644\u0628\u0627\u062d\u062b\u0648\u0646 \u0644\u0641\u062d\u0635 \u0643\u0645\u064a\u0627\u062a \u0643\u0628\u064a\u0631\u0629 \u0645\u0646 \u0627\u0644\u0646\u0635\u0648\u0635\u060c \u0648\u0627\u0633\u062a\u062e\u0644\u0627\u0635 \u062f\u0644\u0627\u0644\u0627\u062a \u0645\u0646\u0647\u0627 \u0628\u0633\u0631\u0639\u0629 \u0648\u0628\u0635\u0648\u0631\u0629 \u0645\u0646\u0647\u062c\u064a\u0629. \u0648\u0623\u0635\u0628\u062d \u0623\u062f\u0627\u0629 \u0645\u0647\u0645\u0629 \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0634\u062a\u0649\u061b \u0625\u0630 \u064a\u0643\u0634\u0641 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062e\u0641\u064a\u0629 \u0648\u064a\u0639\u0645\u0642 \u0641\u0647\u0645\u2026<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[641,630,640],"tags":[],"class_list":["post-50596","post","type-post","status-publish","format-standard","hentry","category-technology-digital-transformation","category-630","category-information-knowledge-management"],"_links":{"self":[{"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/posts\/50596","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=50596"}],"version-history":[{"count":8,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/posts\/50596\/revisions"}],"predecessor-version":[{"id":52374,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=\/wp\/v2\/posts\/50596\/revisions\/52374"}],"wp:attachment":[{"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=50596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=50596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/informaticsjournal.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=50596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}