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42 results for “Natural Language Processing (NLP)”
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Research ArticleOpen accessIn the abstractData Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A SurveyHaya Salah, Islam Al-Omari, Jaber Alwidian et al.Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 8,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractNamed Entity Recognition for Kannada using Gazetteers list with Conditional Random FieldsK. P. Pallavi, L. Sobha, M. M. RamyaNamed Entities (NEs) that exist in the sentences are essential to build Natural Language Processing (NLP) applications for Information Extraction (IE) from large corpora. However, generating a large corpus is challenging for resource poor languages, such as Kannada. Further, there is no annotated corpus available online. The challenges faced in annotating NEs with pre-defined classes are: It is morphologically joined … …Journal of Computer Science, Vol. 14, Issue 5 · 24 Feb 2018 · 8,278 accessesView PDFCite
Technical ReportOpen accessIn the abstractComparison of Stochastic and Rule-Based POS Tagging on Malay Online TextKalaiarasi Sonai Muthu Anbananthen, Jaya Kumar Krishnan, Mohd. Shohel Sayeed, Praviny MuniapanExtensive development of web 2.0 has led to production of gigantic amount of user generated data. These data consist of many useful information. Manual analyzing these data and classifying sentiment in them, is an exhausting task, thus opinion mining method is needed. Opinion mining approach uses natural language processing where Part-of-Speech (POS) Tagging is a crucial part. The performance of … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 5 Apr 2017 · 15,127 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving Email Response in an Email Management System Using Natural Language Processing Based Probabilistic MethodsAbdulkareem Al-AlwaniEmail based communication over the course of globalization in recent years has transformed into an all-encompassing form of interaction and requires automatic processes to control email correspondence in an environment of increasing email database. Relevance characteristics defining class of email in general includes the topic of thee mail and the sender of the email along with the body of email. … …Journal of Computer Science, Vol. 11, Issue 1 · 15 Sep 2014 · 7,839 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimizing Clusters Alignment for Bilingual Malay-English CorporaRayner Alfred, Chan Chen Jie, Ng Zhen Wei et al.Bilingual corpora, containing the same documents in two different languages, are becoming an essential resource for natural language processing. Clustering bilingual corpora provides us with an insight into the differences between languages when term frequency-based Information Retrieval (IR) tools are used. It also allows one to use the Natural Language Processing (NLP) and IR tools in one language to implement … …Journal of Computer Science, Vol. 8, Issue 12 · 26 Nov 2012 · 7,150 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,681 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Translation System in Indian PerspectivesSanjay Kumar Dwivedi, Pramod Premdas SukhadeveProblem statement: In a large multilingual society like India, there is a great demand for translation of documents from one language to another language. Approach: Most of the state government works in there provincial languages, whereas the central government’s official documents and reports are in English and Hindi. Results: In order to have an appropriate communication there is a need … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 8,425 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Entropy Based Method for Removing Web Query Ambiguity in Hindi LanguageS. K. Dwivedi, P. RastogiProblem statement: WSD is core problem of many Natural Language Processing (NLP) tasks; information retrieval is one of them. Information Retrieval in Hindi language also faces the similar problem of WSD. Hindi language is spoken by the major population in India. Natives from the rural area come across the setback of Hindi language information retrieval. WSD is one of them. … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,970 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhanced RoBERTa Model for OCR-Based EHR Parsing and Information ExtractionBalaji Ganesh Rajagopal, Amarnath C, Chidambaram Sawri Rajan, Deebalakshmi RamalingamHealthy source data for medical research and health analytics in general can be obtained from Electronic Health Records (EHRs). Nevertheless, due to the complexities of the design and especially the unstructured nature of them, it is not easy to extract important information from digital documents. This paper proposes a fundamentally new approach to the problem of interpreting EHRs obtained by … …Journal of Computer Science, Vol. 22, Issue 4 · 5 May 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysis of Mental Health Counseling Conversation Using Natural Language ProcessingSaad Ahmed, Sidrah Khurshid, Muhammad Imran et al.One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of high-quality data with labeled results. This research presents a quantitative analysis of relatively good-quality data scraped from an online counseling forum. The dataset comprises … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,860 accessesView PDFCite