Results 71 to 80 of about 10,729 (237)
Strategic Entrepreneurship Journal, EarlyView.Abstract Research Summary Using 14,108 Kickstarter crowdfunding campaigns, we examine three strategies to gather support from first‐time versus repeat backers: narrative distinctiveness aligning with backers' expectations of novelty, endorsement from Kickstarter staff, and campaign leadership's reciprocity of funding other campaigns.
Stephanie Hepp +2 more
wiley +1 more source
Fast2Vec, a modified model of FastText that enhances semantic analysis in topic evolution [PDF]
PeerJ Computer ScienceBackground Topic modeling approaches, such as latent Dirichlet allocation (LDA) and its successor, the dynamic topic model (DTM), are widely used to identify specific topics by extracting words with similar frequencies from documents.
Ayu Pertiwi, Azhari Azhari, Sri Mulyana
doaj +2 more sources
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
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
Training datasets for word2vec.
, 2019 Training datasets for word2vec.
Beakcheol Jang (5593799) +2 more
core +1 more source
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018 Clustering narrow-domain short texts, such as academic abstracts, is an extremely difficult clustering problem. Firstly, short texts lead to low frequency and sparseness of words, making clustering results highly unstable and inaccurate; Secondly, narrow domain leads to great overlapping of insignificant words and makes it hard to distinguish between ...
Changzhou Li +9 more
openaire +1 more source
Computer Graphics Forum, EarlyView.Abstract Network visualization has traditionally relied on heuristic metrics, such as stress, under the assumption that optimizing them leads to aesthetic and informative layouts. However, no single metric consistently produces the most effective results.
X. Li, P. Zhang, X. Wang, H. Shen, Y. Hu
wiley +1 more source
Accuracy of predictive model (Word2vec).
, 2018 Accuracy of predictive model (Word2vec).
Takamichi Nakamoto (3165207) +1 more
core +1 more source