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68 articles for “Text classification”
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Research ArticleOpen accessIn the abstractAutomatic Digitization of Engineering Diagrams using Intelligent AlgorithmsPremanand Ghadekar, Shaunak Joshi, Debabrata Swain et al.At present usage of computational intelligence became the ultimate need of the heavy engineering industries. Digitization can be achieved in these sectors by scanning the hard copy images. When older documents are digitized are not of very high fidelity and therefore the accuracy, reliability of the estimates of components such as equipment and materials after digitization are remarkably low since … …Journal of Computer Science, Vol. 17, Issue 9 · 28 Sep 2021 · 7,062 accessesView PDFCite
Research ArticleOpen accessIn the abstractMining Sports Articles using Cuckoo Search and Tabu Search with SMOTE Preprocessing TechniqueWaheeda AlmayyanSentiment analysis is one of the most popular domains for natural language text classification, crucial for improving information extraction. However, massive data availability is one of the biggest problems for opinion mining due to accuracy considerations. Selecting high discriminative features from an opinion mining database is still an ongoing research topic. This study presents a two-stage heuristic feature selection method … …Journal of Computer Science, Vol. 17, Issue 3 · 12 Mar 2021 · 6,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractSUPERVISED TERM WEIGHTING METHODS FOR URL CLASSIFICATIONR. RajalakshmiMany term weighting methods are suggested in the literature for Information Retrieval and Text Categorization. Term weighting method, a part of feature selection process is not yet explored for URL classification problem. We classify a web page using its URL alone without fetching its content and hence URL based classification is faster than other methods. In this study, we investigate … …Journal of Computer Science, Vol. 10, Issue 10 · 23 Jun 2014 · 7,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficacious Geospatial Information Retrieval Using Density Probabilistic Document Correlation ApproachR. Uma, MuneeswaranInformation Retrieval (IR) is a profound technique to find information that addresses the need of query. Processing of normal text is easier and information can be retrieved efficiently. There are plenty of algorithms in hand to carry out the normal text retrieval. Whereas retrieving geospatial information is very complex and requires additional operations to be performed. Since geospatial data contain … …Journal of Computer Science, Vol. 9, Issue 1 · 16 Feb 2013 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractSingle Core Hardware Module to Implement Boolean Function Classification TechniquesMohd. Marufuzzaman, Md. Mamun, Fazidah Hanim Hashim, Labonnah F. RahmanProblem statement: Boolean function classification plays an important role in the field like technology mapping for digital circuit design, function mapping for minimization and the development of universal logic modules. Approach: In this study, we present a single core hardware module to implement Boolean function classification techniques on Altera FLEX10K FPGA device for lossless data compression. The compression algorithm was … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of the Entropy and Transition Point Approach in Representing Index Terms of Literary TextHayati Abd Rahman, Shahrul Azman NoahProblem statement: Concept hierarchy is a hierarchically organized collection of domain concepts. It is particularly useful in many applications such as information retrieval, document browsing and document classification. Approach: One of the important tasks in construction of concept hierarchy is identification of suitable terms with appropriate size of domain vocabulary. Results: One way of achieving such a size is by … …Journal of Computer Science, Vol. 7, Issue 7 · 30 Jun 2011 · 6,678 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Bayesian Learning for Automatic Arabic Text CategorizationBassam Al-Salemi, Mohd. Juzaiddin Ab AzizProblem statement: The rapid increasing of online Arabic documents necessitated applying Text Categorization techniques that are commonly used for English language to categorize them automatically. The complex morphology of Arabic language and its large vocabulary size make applying these techniques directly difficult and costly in time and effort. Approach: We have investigated Bayesian learning models in order to enhance Arabic … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,406 accessesView PDFCite
Research ArticleOpen accessIn the abstractHeuristic Lemmatization for Arabic Texts Indexation and ClassificationFaten Khalfallah Hammouda, Abdelsalam Abdelhamid AlmarimiProblem statement: This study proposed a system based on a heuristic lemmatization for Arabic text indexation and classification. This research is needed for a lot of NLP applications such as the research of information and automatic abstract. This system was not related to any linguistic rule. The proposed method was limited to five different domains: Sports, medicine, politics, economics and … …Journal of Computer Science, Vol. 6, Issue 6 · 30 Jun 2010 · 6,980 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Moment Features Extraction for Recognizing Handwritten Arabic LettersGheith Abandah, Nasser AnssariProblem statement: Offline recognition of handwritten Arabic text awaits accurate recognition solutions. Most of the Arabic letters have secondary components that are important in recognizing these letters. However these components have large writing variations. We targeted enhancing the feature extraction stage in recognizing handwritten Arabic text. Approach: In this study, we proposed a novel feature extraction approach of handwritten Arabic … …Journal of Computer Science, Vol. 5, Issue 3 · 31 Mar 2009 · 7,498 accessesView PDFCite