A Hybrid Contextual Embedding and Hierarchical Attention for Improving the Performance of Word Sense Disambiguation by Robbel Habtamu Yigzaw, Beakal Gizachew Assefa, Elefelious Getachew Belay

“…It plays a crucial role in natural language applications such as machine translation, question-answering, chatbots, information retrieval, sentiment analysis, and overall language comprehension. …”
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A dataset of annotated free comments on the sensory perception of madeleines for benchmarking text mining techniquesRecherche.Data.Gouv by Michel Visalli, Ronan Symoneaux, Cécile Mursic, Margaux Touret, Flore Lourtioux, Kipédène Coulibaly, Benjamin Mahieu

“…The dataset can therefore be repurposed to assess and compare the performance of different text mining, natural language processing and sentiment analysis algorithms in both French and English, as well as to drive innovations in AI tools for sensory and consumer research.…”
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Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic by Xingyue Wu, Chun Sing Lam, Ka Ho Hui, Herbert Ho-fung Loong, Keary Rui Zhou, Chun-Kit Ngan, Yin Ting Cheung

“…The effectiveness of isolating topics from the posts was evaluated using 3 metrics: topic diversity, coherence, and quality. Sentiment analysis was performed to determine the polarity of each topic and categorize them as positive or negative. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“… Introduction: Automatic profiling and genre classification are crucial for text suitability assessment and as such have been in high demand in education, information retrieval, sentiment analysis, and machine translation for over a decade. …”
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Optimasi Klasifikasi Sentimen Komentar Pengguna Game Bergerak Menggunakan Svm, Grid Search Dan Kombinasi N-Gram by Syahroni Wahyu Iriananda, Renaldi Widi Budiawan, Aviv Yuniar Rahman, Istiadi Istiadi

“…Game users and developers leverage sentiment analysis to understand player opinions and reviews, which subsequently guide game development and enhancements. …”
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Influence of Investors' Sentiment on Bitcoin Returns by Mahdieh Rezagholizadeh, Mohammad Abdi Seyyedkolaee, Zahra Mohseni Kolagar

“…., 2018). Bitcoin sentiment analysis tools can be powerful in identifying market trends if used effectively. …”
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Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece by Malamatenia Panagiotou, Efstathios Kaloudis, Danai Ioanna Koukoumaki, Vasiliki Bountziouka, Evangelia Giannakou, Margarita Pandi, Konstantinos Gkatzionis

“…Sensory and emotional attributes of local, local PDO, and imported cheeses, as well as drivers associated with consumers’ choice and acceptance above and beyond their sensory attributes, were studied using three methods: (a) flash profile to gain insight into the sensory positioning of products and description of samples; (b) qualitative analysis of focus groups to pinpoint consumer knowledge, preference, and consumption criteria; and (c) a new methodology for natural language processing and sentiment analysis of social media posts to determine consumer conceptualizations. …”
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Impact of #PCOSweightloss: A global X hashtag analysis study of weight loss narratives in the PCOS community by Munaza Afaq, Kumar Vashisht, Areen Al-Dhoon, Divya Abraham, Atanas G. Atanasov, Maima Matin, Zara Arshad, Rahul Kashyap, Faisal A. Nawaz

“…Physicians were key contributors to the discourse, contributing to 30% of the ten most engaging posts and 20% of the top ten influencers. Sentiment analysis revealed a predominant neutral sentiment (98%), while 1% each revealed positive and negative sentiments. …”
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Pembentukan Daftar Stopword Goffman Transition Point dengan Pembobotan Emoji pada Analisis Sentimen di Twitter by Rizky Maulana Iqbal, Yuita Arum Sari, Edy Santoso

“…Berdasarkan hasil tersebut dapat disimpulkan bahwa pembentukan stopword dan pembobotan emoji dapat meningkatkan akurasi.   Abtract Sentiment analysis or opinion mining is the process of extracting text data, so that the information contained in the data is obtained. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…This research will analyze the problems related to some reviews about the Fintech P2PL Koinworks application on reviews on the Google Play Store and determine the results of the accuracy of sentiment analysis produced by the Decision Tree algorithm, K-Nearest Neigbor and Support Vector Machine. …”
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When can cancer patient treatment nonadherence be considered intentional or unintentional? A scoping review. by Leon Wreyford, Raj Gururajan, Xujuan Zhou

“…The scoping review provides the basis for method triangulation in two subsequent qualitative studies: 1. Sentiment analysis of online cancer support groups in relation to treatment nonadherence; 2. …”
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Analisis Sentimen terhadap Kebijakan Kuliah Daring Selama Pandemi Menggunakan Pendekatan Lexicon Based Features dan Support Vector Machine by Natasya Eldha Oktaviana, Yuita Arum Sari, Indriati Indriati

“…This policy caused controversy among the public, and many ended up giving opinions on social media, one of which was Twitter. Sentiment analysis is useful for determining the timeliness of system computing in discussions on Twitter regarding online learning policies that tend to have negative or positive sentiments using the Support Vector Machine and Lexicon Based Features methods. …”
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Applying Natural Language Processing Techniques to Map Trends in Insomnia Treatment Terms on the r/Insomnia Subreddit: Infodemiology Study by Jack A Cummins, Daniel J Gottlieb, Tamar Sofer, Danielle A Wallace

“…Regular expression analysis was used to identify and count comments containing specific words, followed by sentiment analysis to estimate the tonality (positive or negative) of comments. …”
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Teknologi Opinion Mining untuk Mendukung Strategic Planning by Dwi Rolliawati, Khalid Khalid, Indri Sudanawati Rozas

“…Out from 4009 data, 31837 types of words are obtained after going through a stop-word removal process. Based on sentiment analysis by Vader and Liu’s approach which was visualized by K-Means graphs, the finding was that 97,54% of public opinion toward Sunan Ampel Islamic State University Surabaya led to a 'neutral' sentiment, while positive = 2,16% and negative=0,34%. …”
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Analisis Sentimen pada Data Saran Mahasiswa Terhadap Kinerja Departemen di Perguruan Tinggi Menggunakan Convolutional Neural Network by Yuliska Yuliska, Dini Hidayatul Qudsi, Juanda Hakim Lubis, Khairul Umum Syaliman, Nina Fadilah Najwa

“…This research applies sentiment analysis in the student’s reviews of college department in Politeknik Caltex Riau. …”
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ANALISIS SENTIMEN DATA TWITTER TERKAIT CHATGPT MENGGUNAKAN ORANGE DATA MINING by Tri Yuli Pahtoni, Handaru Jati

“…The results of sentiment analysis in Indonesian were not much different, with neutral responses of 63.96%, positive responses of 23.56%, and negative responses of 12.48%. …”
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Klasifikasi Kelas Kata (Part-Of-Speech Tagging) untuk Bahasa Madura Menggunakan Algoritme Viterbi by Ilham Firmansyah, Putra Pandu Adikara, Sigit Adinugroho

“…Part-Of-Speech Tagging is the basis of the other Natural Language Processing methods, such as machine translation, word sense disambiguation, and sentiment analysis. Part-Of-Speech Tagging used in natural languages, such as Madurese language. …”
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Sentiments of Individuals with Interstitial Cystitis/Bladder Pain Syndrome Toward Pentosan Polysulfate Sodium: Infodemiology Study by Yulin Hswen, Qiuyuan Qin, Pressley Smith, Alison Swierczynski, Stuart Bauer, Erika Ladson, Amanda Leigh Garrett, Catherine A Brownstein

“…MethodsData were collected from Inspire—an anonymous web-based health community where individuals gather by condition to find support and information. Sentiment analysis and percentages of negative, positive, and neutral sentiment for PPS discussions encompassing each topic was conducted using VADER (Valence Aware Dictionary for Sentiment Reasoning). …”
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Analisis Klasifikasi Sentimen Ulasan pada E-Commerce Shopee Berbasis Word Cloud dengan Metode Naive Bayes dan K-Nearest Neighbor by Josua Josen Alexander Limbong, Irwan Sembiring, kristoko dwi hartomo

“…Therefore the need for sentiment analysis to classify such a large dataset so that you can easily find out what customer sentiments are. …”
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Benefits, limits, and risks of ChatGPT in medicine by Jonathan A. Tangsrivimol, Jonathan A. Tangsrivimol, Erfan Darzidehkalani, Hafeez Ul Hassan Virk, Zhen Wang, Zhen Wang, Jan Egger, Michelle Wang, Sean Hacking, Benjamin S. Glicksberg, Markus Strauss, Markus Strauss, Chayakrit Krittanawong, Chayakrit Krittanawong

“…Future improvements should focus on enhancing accuracy, developing multimodal AI models, improving empathy through sentiment analysis, and safeguarding against artificial hallucination. …”
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