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97 results for “Natural Language Process”
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Research ArticleOpen accessIn the keywordsArabic Named Entity Recognition Using Artificial Neural NetworkNaji F. Mohammed, Nazlia OmarProblem statement: Named Entity Recognition (NER) is a task to identify proper names as well as temporal and numeric expressions, in an open-domain text. The NER task can help to improve the performance of various Natural Language Processing (NLP) applications such as Information Extraction (IE), Information Retrieval (IR) and Question Answering (QA) tasks. This study discusses on the Named Entity … …Journal of Computer Science, Vol. 8, Issue 8 · 16 Jul 2012 · 8,676 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNovel Automatic Query Building Algorithm Using Similarity ThesaurusHayel Khafajeh, Aymen Abu-Errub, Ashraf Odeh, Nidal YousefOne of the most effective factors on the natural language researches is the data set which plays a significant role in designing, improving and evaluation the information retrieval systems and other applications for natural language processing. Unfortunately, building a proper data set consume time, labor and effort, in particular the query extraction from the data set documents. In this study, … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 14 Jul 2012 · 7,607 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQArabPro: A Rule Based Question Answering System for Reading Comprehension Tests in ArabicMohammed Akour, Sameer Abufardeh, Kenneth Magel, Qasem Al-RadaidehProblem statement: Extensive research efforts in the area of Natural Language Processing (NLP) were focused on developing reading comprehension Question Answering systems (QA) for Latin based languages such as, English, French and German. Approach: However, little effort was directed towards the development of such systems for bidirectional languages such as Arabic, Urdu and Farsi. In general, QA systems are more … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 14 Jun 2011 · 7,701 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Question Answering System for the Arabic LanguageGhassan Kanaan, Awni Hammouri, Riyad Al-Shalabi, Majdi SwalhaWe depict the architecture of a question answering system and methodically evaluate contributions of different system components to accuracy. The system differs from most question answering systems in its dependency on data redundancy rather than complicated linguistic analyses of either questions or contender answers. Because a wrong answer is often worse than no answer. A Question Answering (QA) system is … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 7,922 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Entropy Based Method for Removing Web Query Ambiguity in Hindi LanguageS. K. Dwivedi, P. RastogiProblem statement: WSD is core problem of many Natural Language Processing (NLP) tasks; information retrieval is one of them. Information Retrieval in Hindi language also faces the similar problem of WSD. Hindi language is spoken by the major population in India. Natives from the rural area come across the setback of Hindi language information retrieval. WSD is one of them. … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 6,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsKSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding TechniquesRashmi Kariganuru Bheemarao, Hassan Sadashiva Guruprasad, Shambhavi Bangalore RaviOpinion Mining has gained significant attention in recent years, especially due to the enormous growth of online content generation. However, finding the opinions expressed in comments and reviews is highly challenging in Indian regional languages due to the lack of annotated datasets. Opinion mining has predominantly been conducted in English, with recent efforts extending to Hindi and other languages. A … …Journal of Computer Science, Vol. 21, Issue 6 · 4 Jul 2025 · 3,377 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Generic Syntax Analyzer for the Computerization of African LanguagesYahaya Morou Ganda, Harouna Naroua, Bachir Moussa IdiThis article enters within the framework of a contribution to the computerization of African Languages. It presents a generic parsing tool designed for West African languages despite their individual specificities. The genericity of the tool resides in the fact that it is adaptable to any West African language while using a minimum of resources. It only needs an etiquette dictionary … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 4,342 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 keywordsAssessing Bi-LSTM Model’s Performance in Identifying AI Generated Text in Digital MediaTinashe Crispen Garidzira, William Tichaona Vambe, Courage MatoboboThe rapid growth of AI-generated content from ChatGPT, Gemini, and many others poses significant challenges in digital media. There are increasing instances of text generated by machine learning models being indistinguishable from human-written text. This calls for an effective way of detecting and distinguishing text generated by AI from human text. Using a Cross-Industry Standard Process for Data Mining (CRISP-DM) … …Journal of Computer Science, Vol. 21, Issue 8 · 8 Oct 2025 · 2,416 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Learning Analysis of Drug Reviews: Identifying Patient Conditions, Predicting Drug Ratings, and Sentiment AnalysisRafat Hammad, Mohammad Ashraf Ottom, Ayah Bani BakerUnderstanding patients' experiences with medications is essential for improving drug effectiveness, detecting potential side effects, and enhancing overall patient satisfaction. This research investigates applying machine learning to patient drug reviews across three main tasks: Identifying patient conditions, predicting drug ratings, and performing sentiment analysis. We implemented and evaluated Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 736 accessesView PDFCite