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79 results for “sentiment”
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Research ArticleOpen accessEvery word in the titleSentiment Analysis Using Light Weight - Gradient Boosting Machine based Feature SelectionBikku Ramavath, Srikanth Kadainti, Nemani SubashSentiment analysis is a significant task in Natural Language Processing (NLP) that differentiates the emotions and opinions expressed in text or reviews. The sentiment analysis is challenging due to the complex language patterns and inappropriate or redundant features used for classification. In this research, the Light Weight - Gradient Boosting Machine (LWGBM) based feature selection is proposed to choose relevant … …Journal of Computer Science, Vol. 21, Issue 5 · 26 May 2025 · 4,695 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSentiment Analysis on User Reviews of Snapchat in IndonesiaEvaristus Didik Madyatmadja, Brigita Christabel Surya Winata, Evelyn Pradhan et al.This research explores the sentiment expressed in Snapchat user reviews within the Indonesian context, leveraging advanced natural language processing techniques and classification models. With a focus on the Indonesian user base, 8,015 reviews from the Google Play Store were analyzed using naive bayes, Support Vector Machines (SVM), and random forest models. The results indicated that the random forest model outperformed … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Jan 2025 · 5,591 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAspect Category Detection Using Bi-LSTM-Based Deep Learning for Sentiment Analysis for HindiAshwani Gupta, Utpal SharmaIn the field of sentiment analysis, the notion of aspect category identification lays emphasis on identifying the aspect categories in a specific review phrase. The purpose of this research is to propose a novel approach to the identification of aspect categories in reviews that are published in Hindi. The training and evaluation of a supervised model that is based on … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Sep 2024 · 4,606 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAspect Based Sentiment Analysis Using Self-Attention Based LSTM Model with Word EmbeddingVimalkumar B. Vaghela, ZishanHaider Y. Noorani, Kalpesh Patel et al.Sentiment analysis is in advance more attention for research due to incremental convention in affairs of state, online marketing and social networking. Users afford their opinions for exacting object as reviews. Analysts categorize these reviews into prejudiced information. Consequently sentiment pulling out is the development of take out human awareness from amorphous text reviews. Extracted sentiment will assist to recognize … …Journal of Computer Science, Vol. 20, Issue 10 · 29 Jul 2024 · 6,512 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMeasuring 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 accessEvery word in the titleAnalysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)Thambusamy Velmurugan, Sridevi Perumal ChokkalingamSentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gauging sentiment can be challenging, particularly when individuals employ specialized language and online shorthand. This research work presents a novel approach to sentiment analysis known as SentiWordNet Adjusted … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 5,939 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImprovement of Moroccan Dialect Sentiment Analysis Using Arabic BERT-Based ModelsGhizlane Bourahouat, Manar Abourezq, Najima DaoudiThis study addresses the crucial task of sentiment analysis in natural language processing, with a particular focus on Arabic, especially dialectal Arabic, which has been relatively understudied due to inherent challenges. Our approach centers on sentiment analysis in Moroccan Arabic, leveraging BERT models that are pre-trained in the Arabic language, namely AraBERT, QARIB, ALBERT, AraELECTRA, and CAMeLBERT. These models are … …Journal of Computer Science, Vol. 20, Issue 2 · 27 Dec 2023 · 6,545 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAspect-Based Sentiment Classification for Detecting the Cognitive Triad Mechanism of DepressionShreekant Jere, Annapurna P PatilThe cognitive triad mechanism of Beck’s cognitive theory is critical for early diagnosis and prognosis of depression. According to the cognitive triad mechanism, negative views about the self, the future, and the world appear to be routine in depressed people, occurring spontaneously. The challenge in the clinical interview is that the individuals may have trouble explaining their past and current … …Journal of Computer Science, Vol. 18, Issue 12 · 28 Nov 2022 · 6,111 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSentiment Analysis on User Reviews of Mutual Fund ApplicationsEvaristus Didik Madyatmadja, Shinta, Devi Susanti et al.The primary goal of this study is to compare the accuracyof the results of sentiment analysis using the Naive Bayes, Support VectorMachine (SVM), and Random Forest methods on one of the mutual fund application’s user reviews.The second goal is to identify user reviews of the mutual fund app to gaininsight into the topics covered by each sentiment. The user reviews … …Journal of Computer Science, Vol. 18, Issue 10 · 26 Sep 2022 · 6,441 accessesView PDFCite