Arabic sentiment analysis of Monkeypox using deep neural network and optimized hyperparameters of machine learning algorithms
Sentiment analysis, a branch of natural language processing (NLP), has gained significant
attention for its applications in various domains. This study focuses on utilizing machine …
attention for its applications in various domains. This study focuses on utilizing machine …
A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
M Malinga, I Lupanda, MW Nkongolo… - arxiv preprint arxiv …, 2024 - arxiv.org
South Africa and the Democratic Republic of Congo (DRC) present a complex linguistic
landscape with languages such as Zulu, Sepedi, Afrikaans, French, English, and Tshiluba …
landscape with languages such as Zulu, Sepedi, Afrikaans, French, English, and Tshiluba …
Morbidity Detection from Clinical Text Data Using Artificial Intelligence Technique
HL Bhavyashree, G Varaprasad - International Conference on Data …, 2023 - Springer
As health care has become more data-driven in recent years, the amount of data produced
has increased. Digital data can take the form of audio, pictures, videos, transcripts, clinical …
has increased. Digital data can take the form of audio, pictures, videos, transcripts, clinical …
Extreme Learning Machine Algorithm in Sentiment Analysis and Its Applications: Systematic Literature Review
R Erdoğan, B Şen - Bilgi ve İletişim Teknolojileri Dergisi, 2022 - dergipark.org.tr
Natural language processing and machine learning are used to define and extract human
emotions from unstructured text using a technique called sentiment analysis. Many …
emotions from unstructured text using a technique called sentiment analysis. Many …
Morbidity Detection from Clinical Text Data Using Artificial Intelligence
HL Bhavyashree, G Varaprasad - Data Management, Analytics …, 2023 - books.google.com
As health care has become more data-driven in recent years, the amount of data produced
has increased. Digital data can take the form of audio, pictures, videos, transcripts, clinical …
has increased. Digital data can take the form of audio, pictures, videos, transcripts, clinical …