Social media network public opinion emotion classification method based on multi-feature fusion and multi-scale hybrid neural network by Yuan Yao, Xi Chen, Peng Zhang

“…Additionally, for aspect-level sentiment analysis of user generated content (UGC) text, a unified learning framework based on an information interaction channel is proposed, which enables the team productivity center (TPC) task. …”
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Survey data on strategic alignment in multispecialty hospitals: Implementing a balanced scorecard approach for optimal performanceMendeley Data by Shefali Mohan, Rohit Kushwaha, M. Venkatesan, Ramya Singh, Manish Mishra

“…Variables in the dataset include demographic information, measures of strategic alignment, BSC implementation metrics, and performance indicators. Sentiment analysis and Descriptive statistics were used to analyze the data, Correlation and regression analyses were employed to explore the relationships between the constructs.This dataset offers significant reuse potential for researchers interested in examining strategic management practices in healthcare settings. …”
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E-PORTFOLIO IN STUDENTS' LEARNING FOR SUSTAINABLE DEVELOPMENT by Oksana Polyakova

“…For this, qualitative and quantitative tools gathered learners` perceptions that were later analysed by statistic and sentiment analysis software. As a result, a visible improvement in B2 mediation, B2 reading and B2 writing communicative competences was detected; a collective awareness of a quality professional background presentation is another outcome of the study. …”
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Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan by Yudi Setiawan, Nur Ulfa Maulidevi, Kridanto Surendro

“…Penelitian deteksi pola dan karakteristik cyberbullying banyak dilakukan dengan berbagai metode, seperti dengan mengimplementasikan Machine Learning, Natural Language Processing (NLP), dan Sentiment Analysis yang memiliki variasi akurasi yang berbeda, dengan keunggulan dan kelemahan dari masing-masing metode. …”
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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

“…Although, many research studies have already investigated the Arabic text sentiment analysis problem, this paper investigates the specific research topic that addresses Arabic comparative opinion mining. …”
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Beyond the Trends: Evolution and Future Directions in Music Recommender Systems Research by Babak Amiri, Nikan Shahverdi, Amirali Haddadi, Yalda Ghahremani

“…A scientific mapping analysis classifies research themes in different historical periods, focusing on essential areas such as collaborative filtering, hybrid recommendation, sentiment analysis, and emotion identification. A review of thematic evolution highlights the importance of digitalisation, emotion recognition, personalisation, user experience, and collaborative filtering in determining future research directions. …”
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Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks by Xueting Liao, Danyang Zheng, Xiaojun Cao

“…In this paper, we propose a Tripartite Graph Clustering for Pandemic Data Analysis (TGC-PDA) framework that builds on the proposed models and analysis: (1) tripartite graph representation, (2) non-negative matrix factorization with regularization, and (3) sentiment analysis. We collect the tweets containing a set of keywords related to coronavirus pandemic as the ground truth data. …”
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Using FinBERT as a refined approach to measuring impression management in corporate reports during a crisis by Caroline Cherry, Waheeda Mohamed, Yogesh Brahmbhatt

“… This paper presents the findings of sentiment analysis as a refined approach to detecting impression management that may be present in the Chairman’s Statements of companies during an exogenous event such as the Corona virus pandemic. …”
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BanglaBlend: A large-scale nobel dataset of bangla sentences categorized by saint and common form of bangla languageMendeley Data by Umme Ayman, Chayti Saha, Azmain Mahtab Rahat, Sharun Akter Khushbu

“…It contributes to the creation of NLP models that can detect and imitate Bengali stylistic nuances, hence improving tasks like as text categorisation, sentiment analysis, and style translation. BanglaBlend also facilitates literary analysis, cultural heritage projects, and the creation of domain-specific texts. …”
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Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis by Boštjan Šumak, Maja Pušnik, Ines Kožuh, Andrej Šorgo, Saša Brdnik

“…Participants (N = 85), Master’s students from the Faculty of Electrical Engineering and Computer Science with prior experience in UX evaluations and familiarity with AI-based chatbots, performed sentiment analysis and data annotation tasks using these tools, enabling a comparative evaluation. …”
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From deliberation to acclamation: how did Twitter’s algorithms foster polarized communities and undermine democracy in the 2020 US presidential election by Gustavo Morales, Gustavo Morales, Augusto Salazar, Diego Puche

“…The descriptive analytics are executed utilizing the Python programming language. In conducting sentiment analysis, this research employed the Twitter-roBERTa-base model. …”
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Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…On the General Language Understanding Evaluation (GLUE) benchmark, comprising paraphrase identification, sentiment analysis, and text classification, the student model maintained strong performance across many tasks despite this reduction. …”
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The influences of social support expressed from doctors and disclosed from peers on patient decision-making: an analysis from the online health community by Beibei Yang, Wei Lu, Yan Xuan, Chongqi Hao, Xiaojun Huang

“…We measure all the treatment experience of these new patients between September and December 2022 and then take the average value (TreatExpi). The sentiment analysis application program interface from Baidu AI-NLP is used to measure emotion state of patients and then the average value is included (EmoStai). …”
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Interacting Large Language Model Agents Bayesian Social Learning Based Interpretable Models by Adit Jain, Vikram Krishnamurthy

“…Motivated by Bayesian sentiment analysis on online platforms, we construct interpretable models and stochastic control algorithms that enable LLMAs to interact and perform Bayesian inference. …”
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Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter by Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti

“…Firstly, a new and data-efficient method of signing relationships between individuals using sentiment analysis and, secondly, we provide an in-depth look at the properties of Signed Ego Networks (SENs), using 9 Twitter datasets of various categories of users. …”
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Evaluating Audience Engagement as a Measure of Digital Diplomacy Effectiveness by M. M. Bazlutckaia, A. N. Sytnik, N. A. Tsvetkova

“…The analysis of selected metrics reveals two key trends in US digital diplomacy in Russia: since 2022 there has been a notable shift in focus toward Telegram as the primary platform, and while the content partially reaches the existing Russian-speaking audience, it struggles to expand its overall reach.The authors provide six recommendations for diplomatic agencies and consulting firms to enhance the tools for analyzing digital diplomacy engagement: (1) adopt automated engagement metrics that account for the interface differences among social media platforms; (2) incorporate built-in topic modeling of posts; (3) integrate sentiment analysis of comments; (4) develop mechanisms to detect traffic manipulation; (5) track multi-level reposts, the timing and spread of hashtag diplomacy, and audience growth considering these processes; and (6) evaluate digital diplomacy activity concerning responses to comments. …”
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Election Prediction on Twitter: A Systematic Mapping Study by Asif Khan, Huaping Zhang, Nada Boudjellal, Arshad Ahmad, Jianyun Shang, Lin Dai, Bashir Hayat

“…The results show that most of the studies implemented sentiment analysis (SA) followed by volume-based and social network analysis (SNA) approaches. …”
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Critical Discourse Analysis of the Manifestations of English Linguistic Challenges: The Case Of The New Draft Language Policy In The South African Police Services by Tebogo Johannes Kekana, Malesela Edward Montle

“…Principles from Discourse Analysis and Sentiment Analysis were used as a linchpin in developing the framework for this study. …”
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Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost by Dana A. Al-Qudah, Ala’ M. Al-Zoubi, Alexandra I. Cristea, Juan J. Merelo-Guervós, Pedro A. Castillo, Hossam Faris

“…This research aims to intensify the usage of data analytics, machine learning, and sentiment analysis of textual data to classify customers’ reviews, feedback, and ratings of businesses in Jordan’s food and restaurant industry. …”
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Effects of COVID-19 on pea farmers, a case study in the department of Nariño, Colombia by Housseman Steven Ramos-Zambrano, Marcela Elizabeth Riascos-Delgado, Jeisson Rodríguez-Valenzuela, Alcira María Delgado-Sánchez, Álvaro Mauricio Cadena-Pastrana

“…We carried out semi-structured interviews with 35 farmers, four key informants, and three focus groups. A sentiment analysis (text mining) was conducted to process sensitive information on environmental, economic, and intrinsic aspects of the productive system. …”
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