Chinese Universities’ Image Repair after Network Public Opinion Events: Strategy Choice and Effect Evaluation by Jing Jiang, Juanjuan Ren

“…Then, natural language processing is used to conduct the sentiment analysis of the online comments obtained. Accordingly, the sentiment index is constructed to evaluate the effect of Chinese universities’ image repair strategies. …”
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Analisis Sentimen Bahasa Indonesia pada Twitter Menggunakan Struktur Tree Berbasis Leksikon by Feby Tri Saputra, Yani Nurhadryani, Sony Hartono Wijaya, Defina Defina

“…The lexicon-based approach is one of the sentiment analysis approaches which perform well across data topics without training. …”
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Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse by Surak Son, Yina Jeong

“…It comprises three neural networks: the Facial Emotion Analysis Model (FEAM), which classifies emotions using facial landmarks; the Voice Sentiment Analysis Model (VSAM), which detects vocal emotions even in noisy environments using MCycleGAN; and the Metaverse Emotion Recognition Model (MERM), which integrates FEAM and VSAM outputs to infer overall emotional states. …”
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Product Competitive Analysis Model Based on Consumer Preference Satisfaction Similarity: Case Study of Smartphone UGC by Yu Wang, Jiacong Wu, Xu Ye, Yue Wu

“…Unlike traditional methods that rely on assessments of the competitive environment, the PCAM-CPSS leverages sentiment analysis of user-generated content (UGC) to quantify consumer preference satisfaction. …”
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Stock Price Prediction Using Machine Learning: Evidence from Pakistan Stock Exchange by Zafar Akhter, Dr. Hassan Raza

“…The report additionally proposes potential avenues for future research, such as exploring alternate data sources, employing sentiment analysis techniques, and developing more advanced algorithms. …”
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Depression in the COVID-19 endemic era: Analysis of online self-disclosures by young South Koreans. by Seoyoung Kim, TaeYoon Aum, Dong-Gwi Lee

“…We used Latent Dirichlet allocation and Dirichlet-multinomial regression topic modeling methods in conjunction with sentiment analysis and mean comparison. The results showed that the pandemic and endemic topic models shared similarities, but emerging topics showed extended adversities such as adolescents' vulnerability to eating disorders and young adults' tendency to self-isolate. …”
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Social media and capital markets: an interdisciplinary bibliometric analysis by Wen Long, Man Guo

“…These sample papers mainly include seven hot topics, including sentiment analysis and financial market prediction. Articles in business and finance focus more on social media’s impact on capital markets. …”
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Searching, Navigating, and Recommending Movies through Emotions: A Scoping Review by Nuno Piçarra, Eduardo Reis, Teresa Chambel, Patrícia Arriaga

“…Documents presented on average 1.36 positive terms and 2.64 negative terms. Sentiment analysis (n=31) is frequently used for emotion identification, followed by subjective evaluations (n=15), movie low-level audio and visual features (n = 11), and face recognition technologies (n=8). …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…This paper introduces a Crude Oil-Driven Conditional GAN (CO-CGAN), a hybrid model for enhancing crude oil price forecasting by combining advanced AI frameworks (GANs), oil market sentiment analysis, and stochastic jump-diffusion models. …”
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Tales of health crises: Indonesia’s dynamic narratives and counter-narratives about pandemics by Rahmi Rahmi, Totok Suhardijanto, Herdito Sandi Pratama, Ratna Djumala, Katrin Setio Devi, Aditia Aditia

“…The research highlighted the challenges and complexities of sentiment analysis in such a multifaceted field by gathering data from numerous sources, including the unstructured terrain of Twitter and more regimented online media platforms. …”
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Online comments of tourist attractions combining artificial intelligence text mining model and attention mechanism by Tingting Mou, Hongbo Wang

“…The proposed method not only improves the accuracy of sentiment analysis, but also provides strong support for the optimization of tourism recommendation system and provides more comprehensive, objective and accurate tourism information for scenic spot managers and tourism enterprises. …”
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The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance by Qiong Dang, Yifei Li, Suping Chen

“…Using Python, 145,851 texts were collected from the Weibo platform. Sentiment analysis and topic modeling techniques were employed to reveal the distribution of public emotions and key themes. …”
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AI-Driven Innovations in Tourism: Developing a Hybrid Framework for the Saudi Tourism Sector by Abdulkareem Alzahrani, Abdullah Alshehri, Maha Alamri, Saad Alqithami

“…Our research introduces a hybrid AI-based framework that leverages sentiment analysis to assess and enhance tourist satisfaction, capitalizing on data extracted from social media platforms such as YouTube. …”
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Cross-modality fusion with EEG and text for enhanced emotion detection in English writing by Jing Wang, Ci Zhang

“…Traditional approaches to emotion detection primarily leverage textual features, using natural language processing techniques such as sentiment analysis, which, while effective, may miss subtle nuances of emotions. …”
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Social Media Public Opinion Detection Using Multimodal Natural Language Processing and Attention Mechanisms by Yanxia Dui, Hongchun Hu

“…Traditional multimodal sentiment analysis methods face challenges due to the suboptimal fusion of multimodal features and consequent diminution in classification accuracy. …”
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Analisis Sentimen Kebijakan Penerapan Kurikulum Merdeka Sekolah Dasar dan Sekolah Menengah pada Media Sosial Twitter dengan Menggunakan Metode Word Embedding dan Long Short Term Me... by Alif Rizal Maulana, Satrio Hadi Wijoyo, Yusi Tyroni Mursityo

“…One of the social media that is often used to convey opinions by the people of Indonesia is Twitter. Sentiment analysis was carried out on student opinions expressed on social media Twitter using a machine learning approach. …”
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The heart attack of the Polish health service: metaphors, arguments, and emotional appeals in political debates by Konrad Juszczyk, Barbara Konat, Małgorzata Fabiszak

“…To explore the interactions between these interrelated phenomena, we employ three methods of analysis: Metaphor Identification Procedure, Inference Anchoring Theory, and lexicon-based sentiment analysis. Our data come from Polish political debates broadcasted during the 2019 pre-election campaign. …”
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NLP neural network copyright protection based on black box watermark by Long DAI, Jing ZHANG, Xuefeng FAN, Xiaoyi ZHOU

“…With the rapid development of natural language processing techniques, the use of language models in text classification and sentiment analysis has been increasing.However, language models are susceptible to piracy and redistribution by adversaries, posing a serious threat to the intellectual property of model owners.Therefore, researchers have been working on designing protection mechanisms to identify the copyright information of language models.However, existing watermarking of language models for text classification tasks cannot be associated with the owner’s identity, and they are not robust enough and cannot regenerate trigger sets.To solve these problems, a new model, namely black-box watermarking scheme for text classification tasks, was proposed.It was a scheme that can remotely and quickly verify model ownership.The copyright message and the key of the model owner were obtained through the Hash-based Message Authentication Code (HMAC), and the message digest obtained by HMAC can prevent forgery and had high security.A certain amount of text data was randomly selected from each category of the original training set and the digest was combined with the text data to construct the trigger set, then the watermark was embedded on the language model during the training process.To evaluate the performance of the proposed scheme, watermarks were embedded on three common language models on the IMDB’s movie reviews and CNews text classification datasets.The experimental results show that the accuracy of the proposed watermarking verification scheme can reach 100% without affecting the original model.Even under common attacks such as model fine-tuning and pruning, the proposed watermarking scheme shows strong robustness and resistance to forgery attacks.Meanwhile, the embedding of the watermark does not affect the convergence time of the model and has high embedding efficiency.…”
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Analyzing Antecedent Configurations of Group Emotion Generation in Public Emergencies: A Multi-Factor Coupling Approach by Xiaohan Yan, Yi Liu, Yan Chen, Tiezhong Liu

“…Through web scraping and text sentiment analysis, group emotional tendencies were measured in 40 public emergency cases from the past five years. …”
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From Text to Vision: Examining How Emotional Expression and Information Consistency Affect Perceived Helpfulness by Yuhao Zhang, Jinzhe Yan, Qianru Li

“…This study conducts a sentiment analysis of 71,850 reviews collected by Yelp.com in Los Angeles, California, United States, and divides them into positive and negative according to the valence of the text content. …”
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