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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...48 Hits 1 – 20 of 944 1 PROTECT: A Pipeline for Propaganda Detection and Classification Vorakitphan, Vorakit; Cabrio, Elena; Villata, Serena In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022) BASE Show details 2 #Bittersweet: Positive, negative, and mixed emotions in twitter posts ... Langbehn, Andrew. - : Open Science Framework, 2022 BASE Show details 3 Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ... Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Zenodo, 2022 BASE Show details 4 Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ... Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Zenodo, 2022 BASE Show details 5 MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media Ghadah Alwakid; Taha Osman; Mahmoud El Haj; Saad Alanazi; Mamoona Humayun; Najm Us Sama In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022) BASE Show details 6 Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian Rosario Catelli; Serena Pelosi; Massimo Esposito In: Electronics; Volume 11; Issue 3; Pages: 374 (2022) BASE Show details 7 A New Ontology-Based Method for Arabic Sentiment Analysis Safaa M. Khabour; Qasem A. Al-Radaideh; Dheya Mustafa In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 48 (2022) BASE Show details 8 COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset Aijaz Ahmad Reshi; Furqan Rustam; Wajdi Aljedaani; Shabana Shafi; Abdulaziz Alhossan; Ziyad Alrabiah; Ajaz Ahmad; Hessa Alsuwailem; Thamer A. Almangour; Musaad A. Alshammari; Ernesto Lee; Imran Ashraf In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022) BASE Show details 9 Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model Yanyan Chen; Yumei Zhong; Sumin Yu; Yan Xiao; Sining Chen In: Applied Sciences; Volume 12; Issue 2; Pages: 692 (2022) BASE Show details 10 Analysis of Destination Images in the Emerging Ski Market: The Case Study in the Host City of the 2022 Beijing Winter Olympic Games Yuanxiang Peng; Ping Yin; Kurt Matzler In: Sustainability; Volume 14; Issue 1; Pages: 555 (2022) BASE Show details 11 Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification Meikang Chen; Kurban Ubul; Xuebin Xu; Alimjan Aysa; Mahpirat Muhammat In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022) BASE Show details 12 Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU Ziwen Gao; Zhiyi Li; Jiaying Luo; Xiaolin Li In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022) BASE Show details 13 Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches Nabila Mohamad Sham; Azlinah Mohamed In: Sustainability; Volume 14; Issue 8; Pages: 4723 (2022) Abstract: The emissions of greenhouse gases, such as carbon dioxide, into the biosphere have the consequence of warming up the planet, hence the existence of climate change. Sentiment analysis has been a popular subject and there has been a plethora of research conducted in this area in recent decades, typically on social media platforms such as Twitter, due to the proliferation of data generated today during discussions on climate change. However, there is not much research on the performances of different sentiment analysis approaches using lexicon, machine learning and hybrid methods, particularly within this domain-specific sentiment. This study aims to find the most effective sentiment analysis approach for climate change tweets and related domains by performing a comparative evaluation of various sentiment analysis approaches. In this context, seven lexicon-based approaches were used, namely SentiWordNet, TextBlob, VADER, SentiStrength, Hu and Liu, MPQA, and WKWSCI. Meanwhile, three machine learning classifiers were used, namely Support Vector Machine, Naïve Bayes, and Logistic Regression, by using two feature extraction techniques, which were Bag-of-Words and TF–IDF. Next, the hybridization between lexicon-based and machine learning-based approaches was performed. The results indicate that the hybrid method outperformed the other two approaches, with hybrid TextBlob and Logistic Regression achieving an F1-score of 75.3%; thus, this has been chosen as the most effective approach. This study also found that lemmatization improved the accuracy of machine learning and hybrid approaches by 1.6%. Meanwhile, the TF–IDF feature extraction technique was slightly better than BoW by increasing the accuracy of the Logistic Regression classifier by 0.6%. However, TF–IDF and BoW had an identical effect on SVM and NB. Future works will include investigating the suitability of deep learning approaches toward this domain-specific sentiment on social media platforms. Keyword: climate change; lexicon; machine learning; sentiment analysis; social media URL: https://doi.org/10.3390/su14084723 BASE Hide details 14 How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures Shuyue Huang; Lena Jingen Liang; Hwansuk Chris Choi In: Sustainability; Volume 14; Issue 5; Pages: 2675 (2022) BASE Show details 15 Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media Lal Khan; Ammar Amjad; Kanwar Muhammad Afaq; Hsien-Tsung Chang In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022) BASE Show details 16 How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media Shan Lu; Lingbo Zhao; Lizu Lai; Congrong Shi; Wanyue Jiang In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1822 (2022) BASE Show details 17 TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels Muhammad Imran; Umair Qazi; Ferda Ofli In: Data; Volume 7; Issue 1; Pages: 8 (2022) BASE Show details 18 Detecting Depression Signs on Social Media: A Systematic Literature Review Rafael Salas-Zárate; Giner Alor-Hernández; María del Pilar Salas-Zárate; Mario Andrés Paredes-Valverde; Maritza Bustos-López; José Luis Sánchez-Cervantes In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022) BASE Show details 19 A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders Fahim Sufi; Musleh Alsulami In: Information; Volume 13; Issue 3; Pages: 120 (2022) BASE Show details 20 Using social media and personality traits to assess software developers' emotions ... Silva, Leo; Castro, Marília Gurgel; Silva, Miriam Bernardino. - : Zenodo, 2022 BASE Show details Page: 1 2 3 4 5...48

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