Search Results - textual data processing
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Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz
Published 2014“…The results show that there are linkages between structured textual data and unstructured information, quality improvement in textual document clustering with accurate clusters and high performance of query processing. …”
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Application of clustering in managing unstructured textual data in relational database / Wael Mohamed Shaher Yafooz
Published 2015“…However, the database structure can still contain large amounts of unstructured textual data. Dealing with unstructured textual data leads to three basic issues; users encounter difficulties to find useful information, inaccurate information retrieval and insufficient performance of query processing. …”
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Book Section -
3
Building textual OLAP cubes using real-time intelligent heterogeneous approach
Published 2018“…This article describes how the ever-growing amount of data entails introducing innovative solutions in or-der to capture, process, and store the information. …”
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Multimodal Semantics Integration Using Ontologies Enhanced By Ontology Extraction And Cross Modality Disambiguation
Published 2012“…The proposed process firstly extracts a textual representation from the textual and image modalities, followed by mapping the representation to concepts in a condensed knowledge source using a semantic-based alignment sub-process.…”
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5
An enhanced malay named entity recognition using clustering and classification approach for crime textual data analysis
Published 2018“…These resources contain various types of unstructured data such as text. However, the amount of works done to process this type of data is limited for Malay Named Entity Recognition (MNER). …”
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Analysing visual and textual content of tourism brochures: a case of Malaysian destination image
Published 2005“…This paper adapts the 4-phase research process of design principle, data elicitation, data analysis and knowledge interest. …”
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Value-at-risk forecasting- based on textual information and a hybrid deep learning-based approach
Published 2025“…It also explores how textual data impacts VaR predictions over short and longer periods, using 7 and 20-day rolling windows. …”
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Automated exploration data analysis tool
Published 2025“…The project addresses the limitations of existing tools, particularly for analyzing textual data by enhancing text data exploration capabilities. …”
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Final Year Project / Dissertation / Thesis -
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A framework of enhanced authentication for PDF textual documents using Zigzag-LSB embedding algorithm
Published 2024“…Similar processes are used in the generation and embedding phases of a watermark. …”
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Conceptualising modesty in a Muslimah magazine: A multimodal perspective / Syaheerah Roslee
Published 2016“…The visual analysis of the data discovers that symbolic process is the most frequently-found process in all the visuals in the three sections of Eve magazines. …”
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11
Text mining and analytics a case study from news channels posts on Facebook
Published 2017“…Data has been collected from the Facebook pages of these three news channels through Facepager tool which was then processed using RapidMiner tool. …”
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Book Chapter -
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Inter-semiotic cohesion analysis of multimodal elements in Iranian English textbooks / Masoumeh Mahdizadegan Attar
Published 2014“…The visual narrative analysis of the data discovers that Action process is the most frequently found process in all the dialogues of the three English textbooks. …”
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13
The impact of pre-processing and feature selection on text classification
Published 2020“…However, this textual data is hard to manage and process for classification purposes. …”
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Conference or Workshop Item -
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Rule-based filtering algorithm for textual document
Published 2017“…Textual document is usually in unstructured form and high dimensional data.The exploration of hidden information from the unstructured text is useful to find interesting patterns and valuable knowledge.However, not all terms in the text are relevant and can lead to misclassification. …”
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An improved self organizing map using jaccard new measure for textual bugs data clustering
Published 2018“…To address the data sparseness issue, the experiment has been performed on textual bugs’ data by using two different distance measure which are Euclidean distance and Jaccard New Measure. …”
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An improved self organizing map using jaccard new measure for textual bugs data clustering
Published 2018“…To address the data sparseness issue, the experiment has been perfonned on textual bugs' data by using two different distance measure which are Euclidean distance and Jaccard New Measure. …”
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A sentiment-based filteration and data analysis framework for social media
Published 2015“…This paper describes a framework that explains the processes involved in the filteration and analysis of data for user generated content in social media.Previous researches have put their focus in leveraging high quality data from social media data stream, but there are many opportunities that need to be explored.This paper proposes a sentiment-based filteration and data analysis framework in identifying relevant information from data generated by users in social media.Based on the textual contents generated and spread through social media, it is assumed that each of the set of text streams/corpora might carry a sentiment associated with it regardless of its polarity bias. …”
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Elements of critical discourse in copywriting on Malaysian celebrity television advertisement
Published 2019“…Results from this study have helped in the process of identifying the presence of the textual analysis sub categories which are grammar, theme, metaphor, repetition and conjunction. …”
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Sentence boundary extraction from scientific literature of electric double layer capacitor domain: Tools and techniques
Published 2022“…Processing and understanding the natural language of scientific literature is the backbone of these systems, which depend heavily on appropriate textual content. …”
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