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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) BASE Show 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) Abstract: Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people’s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is one of the most extensively utilized dialects. Sentiment analysis of Roman Urdu is difficult due to its morphological complexities and varied dialects. The purpose of this paper is to evaluate the performance of various word embeddings for Roman Urdu and English dialects using the CNN-LSTM architecture with traditional machine learning classifiers. We introduce a novel deep learning architecture for Roman Urdu and English dialect SA based on two layers: LSTM for long-term dependency preservation and a one-layer CNN model for local feature extraction. To obtain the final classification, the feature maps learned by CNN and LSTM are fed to several machine learning classifiers. Various word embedding models support this concept. Extensive tests on four corpora show that the proposed model performs exceptionally well in Roman Urdu and English text sentiment classification, with an accuracy of 0.904, 0.841, 0.740, and 0.748 against MDPI, RUSA, RUSA-19, and UCL datasets, respectively. The results show that the SVM classifier and the Word2Vec CBOW (Continuous Bag of Words) model are more beneficial options for Roman Urdu sentiment analysis, but that BERT word embedding, two-layer LSTM, and SVM as a classifier function are more suitable options for English language sentiment analysis. The suggested model outperforms existing well-known advanced models on relevant corpora, improving the accuracy by up to 5%. Keyword: deep learning; LSTM; machine learning; Roman Urdu language; sentiment analysis; word embedding URL: https://doi.org/10.3390/app12052694 BASE Hide 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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