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Research ArticleOpen accessIn the keywordsDetecting Disinformation: Enriching the COVAX Reality Dataset with BERT for Stance DetectionSaad Ahmed, Asma Qaiser, Sidrah Abdullah, Muhammad Shoaib SiddiquiSocial media news pages and online news portals have significantly grown in popularity among the users across the globe for accessing the latest and important news. Unlike traditional newspapers, online news portals and social media provide the news round the clock and can be accessed from any location free of cost. However, the internet sources, especially the social media, have … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 1,836 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Deep Learning Approach for Telugu Domain Identification with Multichannel LSTM-CNNBuddha Hari Kumar, Chitra Perumal, Inakoti Ramesh Raja et al.The vast growth of textual data has ushered into the limelight, a plethora of applications in information retrieval and natural language processing (NLP). Proper extraction of information from text is heavily dependent on recognizing the thematic content, which becomes crucial in the tasks of document summarization, information extraction, question answering, machine translation, and sentiment analysis. The great complexity of this … …Journal of Computer Science, Vol. 21, Issue 9 · 26 Nov 2025 · 2,395 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUnified Semantic Blog Mining Framework and Summarized Blog RetrievalGodfrey Winster Sathianesan, Swamynathan SankaranarayananIn today’s scenario, publishing the personal content and technical content has become very easy for the publishers, because of the readily available prominent social media called blog. Content developers, teachers, researchers post various articles relevant to their research or newly emerging topics. Blog content in one blog source may resemble the semantics of blog from other source. Readers, who are … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 6,461 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing Feature Construction Process for Dynamic Aggregation of Relational AttributesRayner AlfredProblem statement: The importance of input representation has been recognized already in machine learning. Feature construction is one of the methods used to generate relevant features for learning data. This study addressed the question whether or not the descriptive accuracy of the DARA algorithm benefits from the feature construction process. In other words, this paper discusses the application of genetic … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,929 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Effective Transmission and Browsing Methodology for Streaming VideoK. K. Thyagharajan, V. RamachandranBrowsing streaming video quickly through Internet with in the available bandwidth is a challenging one and it is also time consuming. The user has to browse, view and listen to the complete video to identify relevant contents. Most of the video summarization techniques presented in research papers are suitable only for stand-alone environments. They are not addressing or analyzing the … …Journal of Computer Science, Vol. 2, Issue 4 · 30 Apr 2006 · 6,997 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn On-line Analytical Processing (OLAP) Aggregation Function for Rising Aspects in Collaboration and Social NetworksWaqas Nawaz, Kifayat Ullah Khan, Muhammad Shoaib SiddiquiThe overwhelming usage of social and collaboration networks provides the opportunity to analyze evolution of relationships among individuals, like celebrities or co-authors. Discovering such phenomenon in large complex networks is non-trivial due to their large sizes. In this situation, the aggregation functions used in OLAP, are useful to analyze the summarized data. OLAP has successfully proven its worth on multidimensional … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 7,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractOpinion Extraction on Online Malay TextSurendran Selvaraju, Kalaiarasi Sonai Muthu AnbananthenGrowing of social media usage present a new set of opportunities and challenges in the way of information is retrieved and searched. Opinions on social media has become an important factor in influencing people choices on purchasing a product and service. Hence, sentiment analysis has become the most crucial tool in tracking people feedbacks on products and services. For Malay … …American Journal of Applied Sciences, Vol. 16, Issue 4 · 12 Jun 2019 · 7,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Approach to Pronominal Anaphora Resolution in ArabicAbdullatif Abolohom, Nazlia OmarOne of the challenges in natural language processing is to determine which pronouns to be referred to their intended referents in the discourse. Performing anaphora resolution is considered as an important task for a number of natural language processing applications such as information extraction, question answering and text summarization. Most of the earlier works of anaphora resolution have been applied … …Journal of Computer Science, Vol. 11, Issue 5 · 17 Aug 2015 · 7,092 accessesView PDFCite
Research ArticleOpen accessIn the abstractARABIC PART OF SPEECH TAGGING USING K-NEAREST NEIGHBOUR AND NAIVE BAYES CLASSIFIERS COMBINATIONRund Mahafdah, Nazlia Omar, Omaia Al-OmariPart Of Speech (POS) tagging forms the important preprocessing step in many of the natural language processing applications such as text summarization, question answering and information retrieval system. It is the process of classifying every word in a given context to its appropriate part of speech. Different POS tagging techniques in the literature have been developed and experimented. Currently, it … …Journal of Computer Science, Vol. 10, Issue 9 · 2 May 2014 · 7,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDFCite