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60 articles for “NLP”
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Research ArticleOpen accessIn the keywordsAnalysis of Mental Health Counseling Conversation Using Natural Language ProcessingSaad Ahmed, Sidrah Khurshid, Muhammad Imran et al.One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of high-quality data with labeled results. This research presents a quantitative analysis of relatively good-quality data scraped from an online counseling forum. The dataset comprises … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,857 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStock price prediction using Generative Adversarial NetworksHungChun Lin, Chen Chen, GaoFeng Huang, Amir JafariDeep learning is an exciting topic. It has been utilized in many areas owing to its strong potential. For example, it has been widely used in the financial area which is vital to the society, such as high-frequency trading, portfolio optimization, fraud detection and risk management. Stock market prediction is one of the most popular and valuable areas in finance. … …Journal of Computer Science, Vol. 17, Issue 3 · 2 Apr 2021 · 17,700 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSentiment Analysis: Comparative Study between GSVM and KNNHany Mohamed, Ayman Atia, Mostafa-Sami M. MostafaSentiment classification aims detecting general opinion of users in social media towards business products or daily life events. The classification tells whether sentiment is positive or negative. Techniques of sentiment classification are categorized into lexical analysis and machine learning techniques. In this paper, we propose a comparative study between SVM applied genetics (GSVM) against KNN algorithm in terms of speed … …American Journal of Applied Sciences, Vol. 15, Issue 6 · 1 Aug 2018 · 8,359 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSentiment Analysis of French Tweets based on Subjective Lexicon Approach: Evaluation of the use of OpenNLP and CoreNLP ToolsAbdelkader Rhouati, Jamal Berrich, Mohammed G. Belkasmi, Toumi BouchentoufNowadays, sentiment analysis is becoming a very important issue of research. This paper present experimentation on sentiment analysis based on subjective lexicon method. This experimentation is tested over French tweets using "Public Opinion Knowledge (POK)" platform. POK is a platform consists in getting public opinion orientation from text extracted from social network and blogs, which we have developed and presented … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,339 accessesView PDFCite
Research ArticleOpen accessIn the keywordsArabic to English Machine Translation of Verb Phrases Using Rule-Based ApproachZainab Abd Algani, Nazlia OmarProblem statement: Scientific translation represents an important stream in the current century due to explosion of the information revolution. The translation of scientific text is still limited in accuracy due to the fact that the scientific terms cannot be translated appropriately. Word order rules are very important for the generation of sentences in the target language whereas the word order … …Journal of Computer Science, Vol. 8, Issue 3 · 2 Jan 2012 · 8,389 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Design and Development of Word Sense Disambiguation Algorithm for English Language Understanding for Database AccessM. Munusamy, G. Tholkappia Arasu, V. Palanisamy, S. SelvarajanProblem statement: This study attempts to present an object-net method for word sense disambiguation. It is proposed to model the elementary meanings which assist the machine to autonomously undertake the analysis and synthesis processes of meaning. Approach: In the proposed methodology, the disambiguation process was performed in context manner. Starting from natural text, the context of the sentence was identified, … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 6,780 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRule Based Shallow Parser for Arabic LanguageMona Ali Mohammed, Nazlia OmarProblem statement: One of language processing approaches that compute a basic analysis of sentence structure rather than attempting full syntactic analysis is shallow syntactic parsing. It is an analysis of a sentence which identifies the constituents (noun groups, verb groups, prepositional groups), but does not specify their internal structure, nor their role in the main sentence. The only technique used … …Journal of Computer Science, Vol. 7, Issue 10 · 4 Aug 2011 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,104 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSemantic Refinement of Multi-meaning Words by T-normsF. Sadeghi, H. Khosravi, E. EslamiIn this paper we consider a multi-meaning word which appears in a sentence together with some connected words. To refine the meaning of this multi-meaning word, we propose a method based on T-norms which are reasonable mathematical models of logical conjunction operator in fuzzy logic. The preliminary results derived from a prepared corpus are encouraging. …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Arabic Comments to Detect Cyberbullying from Social Media Using Convolutional Neural Network and Meta-LearningSarah Mansour Elgaud, Mustafa Ali Abuzaraida, Abdullah AlshehabAs a result of the proliferation of social media, cyberbullying has become widespread in the Arab community on social media and cyberbullying has become a concern targeting individuals and may cause some serious side effects. The problems of Natural Language Processing (NLP) for the Arabic language and its complexity make it difficult to classify texts accurately. In recent years, deep … …Journal of Computer Science, Vol. 21, Issue 3 · 10 Feb 2025 · 6,279 accessesView PDFCite