Results 71 to 80 of about 22,264,370 (303)
Sentiment Analysis Using Deep Learning in Albanian: An Overview
Albanian Journal of Natural and Technical Sciences, 2023 Sentiment analysis aims to automatically classify people’s opinions, attitudes and emotions expressed towards a particular entity, topic, or event. Here, deep learning has been widely used, and proved useful to sentiment analysis problems.
Muhamet Kastrati, Marenglen Biba
doaj +1 more source
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
FEBS Letters, EarlyView.Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source
CoRR, 2015 This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters.
openaire +2 more sources
Multilevel Sentiment Analysis In Arabic [PDF]
2019 IEEE 7th Palestinian International Conference on Electrical and Computer Engineering (PICECE), 2019 In this study, we aimed to improve the performance results of Arabic sentiment analysis. This can be achieved by investigating the most successful machine learning method and the most useful feature vector to classify sentiments in both term and document levels into two (positive or negative) categories.
SEZER, EBRU, Nassar, Ahmed
openaire +4 more sources
A survey on sentiment analysis challenges
Journal of King Saud University: Engineering Sciences, 2018 With accelerated evolution of the internet as websites, social networks, blogs, online portals, reviews, opinions, recommendations, ratings, and feedback are generated by writers. This writer generated sentiment content can be about books, people, hotels,
Doaa Mohey El-Din Mohamed Hussein
doaj +1 more source
M2SA: a novel dataset for multi-level and multi-domain sentiment analysis
Journal of Information and Telecommunication, 2023 People have more channels to express their opinions and feelings about events, products, and celebrities because of the development of social networks.
Huyen Trang Phan +3 more
doaj +1 more source
Emerging experimental and computational methods for studying redox‐regulated structural transitions
FEBS Letters, EarlyView.Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass +2 more
wiley +1 more source
Google Cloud vs. Azure: sentiment analysis accuracy for Polish and English across content types
Journal of Cloud Computing: Advances, Systems and ApplicationsThis study investigated the comparative performance of two popular sentiment analysis tools, Azure Sentiment Analysis and Google Cloud Sentiment Analysis, applied to Polish and English text data.
Łukasz Pawlik
doaj +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
FEBS Open Bio, EarlyView.Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
CoRR, 2014 Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. Mining opinions expressed in the user generated content is a challenging yet practically very useful problem.
openaire +2 more sources