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The Spectral Underpinning of word2vec [PDF]
Frontiers in Applied Mathematics and Statistics, 2020 Word2vec introduced by Mikolov et al. is a word embedding method that is widely used in natural language processing. Despite its success and frequent use, a strong theoretical justification is still lacking.
Ariel Jaffé +2 more
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Word2Vec: Optimal hyperparameters and their impact on natural language processing downstream tasks
Open Computer Science, 2022 Word2Vec is a prominent model for natural language processing tasks. Similar inspiration is found in distributed embeddings (word-vectors) in recent state-of-the-art deep neural networks.
Tosin Adewumi +2 more
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Parallelizing Word2Vec in Shared and Distributed Memory [PDF]
IEEE Transactions on Parallel and Distributed Systems, 2019 Word2Vec is a widely used algorithm for extracting low-dimensional vector representations of words. It generated considerable excitement in the machine learning and natural language processing (NLP) communities recently due to its exceptional performance in many NLP applications such as named entity recognition, sentiment analysis, machine translation ...
Shihao Ji, Nadathur Satish
exaly +3 more sources
Considerations about learning Word2Vec [PDF]
The Journal of Supercomputing, 2021 AbstractDespite the large diffusion and use of embedding generated through Word2Vec, there are still many open questions about the reasons for its results and about its real capabilities. In particular, to our knowledge, no author seems to have analysed in detail how learning may be affected by the various choices of hyperparameters.
Giovanni Di Gennaro +2 more
openaire +3 more sources
Central Kurdish Sentiment Analysis Using Deep Learning [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2022 Sentiment Analysis (SA) as a type of opinion mining and as a more general topic than polarity detection, is widely used for analyzing user's reviews or comments of online expressions, which is implemented using various techniques among which the ...
Kozhin Awlla, Hadi Veisi
doaj +1 more source
Subjective Answers Evaluation Using Machine Learning and Natural Language Processing
IEEE Access, 2021 Subjective paper evaluation is a tricky and tiresome task to do by manual labor. Insufficient understanding and acceptance of data are crucial challenges while analyzing subjective papers using Artificial Intelligence (AI).
Muhammad Farrukh Bashir +4 more
doaj +1 more source
Prediction of Piwi-Interacting RNAs and Their Functions via Convolutional Neural Network
IEEE Access, 2021 In eukaryotic cells, Piwi-interacting RNAs (piRNAs) are the type of short chain non-coding RNA molecules, which interconnect with PIWI proteins. It performs various cellular and genetic functions such as gene-specific protein translation, expression ...
Muhammad Tahir +3 more
doaj +1 more source
Frontiers in Genetics, 2023 Neuropeptides contain more chemical information than other classical neurotransmitters and have multiple receptor recognition sites. These characteristics allow neuropeptides to have a correspondingly higher selectivity for nerve receptors and fewer side
Di Liu, Zhengkui Lin, Cangzhi Jia
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Application of Word2vec in Phoneme Recognition [PDF]
Proceedings of the 2020 12th International Conference on Machine Learning and Computing, 2020 In this paper, we present how to hybridize a Word2vec model and an attention-based end-to-end speech recognition model. We build a phoneme recognition system based on Listen, Attend and Spell model. And the phoneme recognition model uses a word2vec model to initialize the embedding matrix for the improvement of the performance, which can increase the ...
Xin Feng, Lei Wang
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Unstructured Text Documents Summarization With Multi-Stage Clustering
IEEE Access, 2020 In natural language processing, text summarization is an important application used to extract desired information by reducing large text. Existing studies use keyword-based algorithms for grouping text, which do not give the documents' actual theme. Our
Muhammad Yahya Saeed +3 more
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