Results 141 to 150 of about 17,106 (265)

Sentiment classification via improved feature selection using Boolean operator-based particle swarm optimization. [PDF]

Sci Rep
Sharma HD, Budaraju RR, Kumar N, Kumar V, Rathore NC, Babu GR, Dhaka A.   +6 more
europepmc   +1 more source

CharAs-CBert: Character Assist Construction-Bert Sentence Representation Improving Sentiment Classification. [PDF]

Sensors (Basel), 2022
Chen B, Peng W, Song J.
europepmc   +1 more source

Regional Disparities in Case Volumes and Surgeon Distribution in Gastroenterological Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Regional disparities in surgical resources may influence the delivery and sustainability of gastroenterological surgery, particularly in countries experiencing rapid population aging and depopulation. Methods This nationwide cross‐sectional study used data from the Japanese National Clinical Database to examine temporal trends (2013–
Hiroshi Hasegawa, Hiraku Kumamaru, Momoko Ara, Yoshihiro Kakeji, Hideko Yamauchi, Masafumi Inomata, Sadako Akashi‐Tanaka, Koji Ito, Shinji Itoh, Hidetoshi Eguchi, Kazumi Kawase, Yoshiaki Kinoshita, Yuki Kiyozumi, Shogo Kobayashi, Ikuko Shibasaki, Chiyoe Shirota, Hiroyuki Suzuki, Chie Takasu, Aoi Fujikawa, Saki Bessho, Kiyomi Horiuchi, Kosei Maemura, Ayako Maruo, Takuya Miura, Yuji Miyamoto, Toshiki Yajima, Ayuko Yasuda, Toshiharu Yamaguchi, Tadashi Iwanaka, Hideo Baba, Akinobu Taketomi   +30 more
wiley   +1 more source

Analyzing Sleep Behavior Using BERT-BiLSTM and Fine-Tuned GPT-2 Sentiment Classification: Comparison Study. [PDF]

JMIR Med Inform
Deng Y, van der Meer J, Tzovara A, Schmidt M, Bassetti C, Denecke K.   +5 more
europepmc   +1 more source

Quantum-Inspired Complex-Valued Language Models for Aspect-Based Sentiment Classification. [PDF]

Entropy (Basel), 2022
Zhao Q, Hou C, Xu R.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Sentiment classification for telugu using transformed based approaches on a multi-domain dataset. [PDF]

Sci Rep
Chattu K, Reddy KAN, Veesam SB, Chirumamilla PS, Dinesh Babu V, Prakash K, Bansal S, Faruque MRI, Al-Mugren KS.   +8 more
europepmc   +1 more source

ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification. [PDF]

Pattern Recognit Lett, 2022
Umer M, Sadiq S, Karamti H, Abdulmajid Eshmawi A, Nappi M, Usman Sana M, Ashraf I.   +6 more
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

Transformer-based ensemble model for dialectal Arabic sentiment classification. [PDF]

PeerJ Comput Sci
Mansour O, Aboelela E, Talaat R, Bustami M.   +3 more
europepmc   +1 more source