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88 articles for “Natural Language Processing”
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Research ArticleOpen accessIn the keywordsOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Dialect-Aware Framework for the Classification of Arabic Dialects and EmotionsNasser AlsadhanArabic is one of the oldest languages still in use today. As a result, several Arabic-speaking regions have developed dialects that are unique to them. Dialect and emotion recognition have various uses in Arabic text analysis, such as determining an online customer's origin based on their comments. Furthermore, intelligent chatbots that are aware of a user's emotions can respond appropriately … …Journal of Computer Science, Vol. 21, Issue 1 · 8 Dec 2024 · 5,411 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Impact of Artificial Intelligence on Social Media ContentElsir Ali Saad Mohamed, Murtada Elbashir Osman, Badur Algasim MohamedArtificial Intelligence (AI) has become a powerful tool for creating and managing social media content. Social media platforms have integrated AI technology into their algorithms to optimize the user experience. However, the impact of AI on social media is a topic of debate. This research aims to explore the effects of AI and its implications for content creators and consumers. … …Journal of Social Sciences, Vol. 20, Issue 1 · 22 Apr 2024 · 39,784 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Open-Source Online Examination System to Meet the Integrity Demands of E-LearningAbdul Wahab MuzaffarThe rise of online learning platforms and the growing demand for remote education emphasize the importance of online exam-proctoring tools. Online proctoring tools presented in the literature require high internet speed and specialized hardware support, posing accessibility challenges for individuals in developing countries. This study aims to develop a solution that relies on something other than high internet speed and … …Journal of Computer Science, Vol. 20, Issue 6 · 3 Apr 2024 · 7,391 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSentence Classification Using Attention Model for E-Commerce Product ReviewNagendra N, Chandra JThe importance of aspect extraction in text classification, particularly in the e-commerce sector. E-commerce platforms generate vast amounts of textual data, such as comments, product descriptions, and customer reviews, which contain valuable information about various aspects of products or services. Aspect extraction involves identifying and classifying individual traits or aspects mentioned in textual reviews to understand customer opinions, improve products, … …Journal of Computer Science, Vol. 20, Issue 5 · 28 Feb 2024 · 5,855 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMeasuring Customers’ Satisfaction Using Sentiment Analysis: Model and ToolAhmed Alqurafi, Tawfeeq AlsanoosyCustomer reviews are a valuable data resource for business owners and companies. Customers frequently write reviews on many platforms, such as eBay or Amazon. These reviews show, for instance, to what extent customers are satisfied with a service or a product. Therefore, these reviews can be used by companies and business owners to improve their services or products. However, numerous … …Journal of Computer Science, Vol. 20, Issue 4 · 7 Feb 2024 · 6,471 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Arabic Named Entity Recognition with a Modified Transformer EncoderHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyThis article investigates the use of a transformer encoder for Arabic Named Entity Recognition (NER). The classic transformer that was originally proposed for machine translation adopts the absolute sinusoidal position embedding which is aware of distance but unfortunately is not aware of the directionality. However, in the NER task, both distance and orientation are crucial. Therefore, in this study, instead … …Journal of Computer Science, Vol. 19, Issue 5 · 10 Apr 2023 · 5,330 accessesView PDFCite
Research ArticleOpen accessIn the keywordsKnowledge-based System of Indian Culture using Ontology with Customized Named Entity RecognitionHarsh Raj, Kumar Harsh, Payal Khattri, Tanwir Uddin HaiderIndian culture is a blend of diversified ethics with different cultures and religions. There arise the sustainable challenges for the people of inter societies and religions to participate in the regional events with lack of cultural information like types of cuisines eaten; rituals followed etc. The existing search engines using a keyword-based approach make it difficult for people to find … …Journal of Computer Science, Vol. 18, Issue 3 · 30 Mar 2022 · 6,613 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,113 accessesView PDFCite
Review ArticleOpen accessIn the keywordsShort Text Mining: State of the Art and Research OpportunitiesMohamed Grida, Hasnaa Soliman, Mohamed HassanWith the growing number of connected online users producing a tremendous amount of unstructured short-texts daily, understanding and mining these data becomes very useful for individuals, governments and companies for identifying the public users’ attitudes towards different entities, such as products, services, events, places, organizations and topics. However, analyzing these short-texts using traditional methods becomes a significant challenge due to … …Journal of Computer Science, Vol. 15, Issue 10 · 13 Oct 2019 · 8,091 accessesView PDFCite