Results 71 to 80 of about 32,474 (200)
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
, 2016 Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the problem of generalized zero-shot learning (GZSL) where the test data's ...
Changpinyo, Soravit +3 more
core +1 more source
Analysis of the impact of the contextual embeddings usage on the text classification accuracy
Радіоелектронні і комп'ютерні системиAnalysis of the impact of the contextual embeddings usage on the text classification ...
Olesia Barkovska +4 more
doaj +1 more source
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2020 Currently, the discussion about hate speech in Indonesia is warm, primarily through social media. Hate speech is communication that disparages a person or group based on characteristics such as (race, ethnicity, gender, citizenship, religion and ...
Auliya Rahman Isnain +2 more
doaj +1 more source
Immune2vec: Embedding B/T Cell Receptor Sequences in ℝN Using Natural Language Processing
Frontiers in Immunology, 2021 The adaptive branch of the immune system learns pathogenic patterns and remembers them for future encounters. It does so through dynamic and diverse repertoires of T- and B- cell receptors (TCR and BCRs, respectively).
Miri Ostrovsky-Berman +7 more
doaj +1 more source
Organizational Culture and Financial Performance: A Machine Learning Approach*
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study explores the relationship between organizational culture and firm performance by applying a machine learning‐based text analysis to a large corpus of employee reviews. Inspired by an intuitive framework of Myers‐Briggs Type Indicator personality dimensions, we propose a novel representation of organizational culture using Korean ...
Hanjun Lee, Junho Park
wiley +1 more source
An analysis of word embedding spaces and regularities [PDF]
, 2019 Word embeddings are widely use in several applications due to their ability to capture semantic relationships between words as relations between vectors in high dimensional spaces.
Gijón Agudo, Manuel
core +1 more source
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
, 2017 The amount of content on online music streaming platforms is immense, and most users only access a tiny fraction of this content. Recommender systems are the application of choice to open up the collection to these users.
Agrawal, Rohan +7 more
core +1 more source
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT This study examines the relationship between ESG news sentiment and corporate performance through the lens of stakeholder theory. While ESG ratings face significant limitations, including measurement inconsistencies and time lags, news sentiment analysis offers insights into internal and external stakeholder responses to ESG activities.
Jeong‐Ji Han +2 more
wiley +1 more source
Query Expansion with Locally-Trained Word Embeddings
, 2016 Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships.
Craswell, Nick +2 more
core +1 more source
Sustainability in Healthcare: The Role of Digital Technologies for Improving Patient Engagement
Business Ethics, the Environment &Responsibility, EarlyView.ABSTRACT Sustainability in healthcare is getting considerable research attention as systems worldwide tend to balance environmental, social, and economic factors. In this context, digital technologies have demonstrated significant potential to enhance engagement among different consumer groups across various industries.
Francesco Schiavone +4 more
wiley +1 more source