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153 results for “Text Data”
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Review ArticleOpen accessPhrase in the titleA Survey on Event Detection Models for Text Data StreamsWafa Zubair AL-Dyani, Farzana Kabir Ahmad, Siti Sakira KamaruddinEvent Detection (ED) is a study area that attracts the attention of decision-makers from various disciplines in order to help them in taking the right decision. ED has been examined on various text streams like Twitter, Facebook, Emails, Blogs, Web Forums and newswires. Many ED models have been proposed in literature. In general, ED model consists of six main phases: … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 7,038 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEfficient Text Data Hiding Technique Using Cryptography and SteganographyNor Fazlida Mohd Sani, Mohamad Adreen NujjaidSteganography serves as a technique for covertly embedding confidential information within other data, ensuring that both the existence and content of this hidden data remain undisclosed to unauthorized parties. Its applications span diverse domains, including military operations, online payment systems, and the Internet of Things (IoT). Steganography proves highly adaptable in concealing data, as information with an unknown presence escapes … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,986 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDAD: A Detailed Arabic Dataset for Online Text Recognition and Writer Identification, a New TypeSaid S. SaloumThis paper presents a novel Arabic dataset that considers the characteristics of the Arabic language filling some gaps not covered by existing datasets. Conventional datasets consider Arabic in a similar way to Latin languages. These datasets either delete diacritic and supplement marks, considering them as defects, or keep them without considering the actual meaning. More than half of all Arabic … …Journal of Computer Science, Vol. 17, Issue 1 · 21 Jan 2021 · 7,859 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Approach to Hide Compressed Voice Data in Arabic Text using Kashida and "La"Sabeeka M. Al-Oun, Jehad Q. Odeh AlnihoudIn this research, we propose a new approach to increase the capacity and enhance the reliability of hiding voice data in Arabic text. Using Kashida to hide bits in Arabic text is one of the most promising approaches in steganography. Unfortunately, ignoring the original Kashida in the cover text may affect the results significantly and produce inaccurate results in the … …Journal of Computer Science, Vol. 13, Issue 3 · 28 Mar 2017 · 7,788 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSignificant Term List Based Metadata Conceptual Mining Model for Effective Text ClusteringJ. Janet, S. Koteeswaran, E. KannanAs the engineering world are growing fast, the usage of data for the day to day activity of the engineering industry also growing rapidly. In order to handle and to find the hidden knowledge from huge data storage, data mining is very helpful right now. Text mining, network mining, multimedia mining, trend analysis are few applications of data mining. In … …Journal of Computer Science, Vol. 8, Issue 10 · 25 Aug 2012 · 7,087 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Design and Development of Word Sense Disambiguation Algorithm for English Language Understanding for Database AccessM. Munusamy, G. Tholkappia Arasu, V. Palanisamy, S. SelvarajanProblem statement: This study attempts to present an object-net method for word sense disambiguation. It is proposed to model the elementary meanings which assist the machine to autonomously undertake the analysis and synthesis processes of meaning. Approach: In the proposed methodology, the disambiguation process was performed in context manner. Starting from natural text, the context of the sentence was identified, … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Automatic Topic Identification AlgorithmHossein Shahsavand Baghdadi, Bali Ranaivo-MalançonProblem statement: Topic is a stream of words which stands for the content of a text. Knowing the topic of a document can help people to be aware from its content and facilitate their searching process. Approach: This paper proposes an automatic algorithm to identify the topic for a textual document based on the chunks corresponding to each sentences in … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 6,906 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDecoding Discrepancies: Understanding Rating and Review Gaps in Best-Selling ProductsJyoti S Verma, Jaimin N UndaviaClassification of the sentiment and using it for the rating prediction is the major task don in this paper. The emotions and opinions are expressed by the users about a product on the e-commerce website and this provides the basis for the prediction done here. The prediction of the rating enables both the user as well as the seller as … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,025 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybridized BERT-Based Approach for Crime News Collection and Classification from Online NewspapersAshour Ali, Shahrul Azman Mohd Noah, Lailatul Qadri Zakaria, Saeed Amer Al AmeriCrime news analysis is crucial for understanding criminal activity, enhancing public safety, and informing policy decisions. The exponential growth and unstructured nature of online news articles, however, present significant challenges for efficient and accurate information extraction. This study aims to enhance the efficiency and accuracy of crime news data collection and classification through advanced Natural Language Processing (NLP) techniques and … …Journal of Computer Science, Vol. 21, Issue 9 · 16 Oct 2025 · 2,288 accessesView PDFCite