Investor sentiment networks: mapping connectedness in DJIA stocks by Kingstone Nyakurukwa, Yudhvir Seetharam

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Research on text sentiment classification based on improved feature selection method by Mingxin LIU, Jing CHEN, Qiyuan WANG

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Studying investor rationality on stock price: A case of Bank Syariah Indonesia by Hafidz Yudhanto Kresnaputra, An'im Kafabih

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Sentiment Analysis of German Texts in Finance: Improving and Testing the BPW Dictionary by Matthias Pöferlein

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Multi-Class Sentiment Analysis on Twitter: Classification Performance and Challenges by Mondher Bouazizi, Tomoaki Ohtsuki

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Twitter Sentiment Analysis Towards Candidates of the 2024 Indonesian Presidential Election by Rhoma Cahyanti, Desiana Nurul Maftuhah, Aris Budi Santoso, Indra Budi

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Kara Cuma Etiketlerinin Tweet İstatistikleri ve Duygu Analizi ile Sıralanması by Günay Kılıç, İbrahim Budak, Bedia Sündüz Kılıç

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Decoding Sentiment in Online Communication: A Social Media Analysis of Fashion Companies by Karolina Mania, Monika Jedynak, Aneta Kuźniarska, Karolina Woszczyna

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A Critical Review on the Book Hume’s Aesthetic Theory, Taste and Sentiment by Zolfaghar Hemmati, Seyyed Mostafa Shahraeini

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Caractéristiques d’une supervision à distance de stagiaires en enseignement en ce qui concerne la création d’un sentiment de présence by Matthieu Petit

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Exploring socioeconomic concerns in Italian social media discourse on migration: A sentiment analysis of X posts by Indelicato Alessandro, Martín Juan Carlos, Di Rocco Rossella Maria Pia, Marinello Vincenzo

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Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

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Machine Learning vs. Econometric Models to Forecast Inflation Rate in Romania? The Role of Sentiment Analysis by Mihaela Simionescu

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Big Data Approach to Sentiment Analysis in Machine Learning-Based Microblogs: Perspectives of Religious Moderation Public Policy in Indonesia by Mhd. Furqan, Ahmad Fakhri Ab. Nasir

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Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach by DOI: 10.7172/2449-6634.jmcbem.2023.1.3 Journal of Marketing and Consumer Behaviour in Emerging Markets 1(16)2023 39 (39–50) © 2023 Authors. This is an open access journal distributed under the Creative Commons BY 4.0 license (https://creativecommons.org/licenses/by/4.0/) Exploring the Impact of Negative Words Used in Online Feedback in Hotel Industry: A Sentiment Analysis, N-gram, and Text Network Analysis Approach Daniel Dan

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Tweeting democracy: analyzing twitter's role in public participation during the Philippine election 2022 by Christine B. Tenorio, Yammie Palao Daud, Lalevie Casas Lubos

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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

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Evolving techniques in sentiment analysis: a comprehensive review by Mahander Kumar, Lal Khan, Hsien-Tsung Chang

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Sentiment analysis of telecom official micro-blog users based on LSTM deep learning model by Xin CAI, Jingsheng LOU

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On the relation between lexical and prosodic cues of emotion in English: a preliminary corpus-based analysis by Paolo Mairano, Enrico Zovato, Vito Quinci

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