Automatic Topic Title Assignment with Word Embedding
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Classification"
DOI: 10.1007/s00357-024-09476-0
Abstract: In this paper, we propose TAWE (title assignment with word embedding), a new method to automatically assign titles to topics inferred from sets of documents. This method combines the results obtained from the topic modeling… read more here.
Keywords: assignment word; word; title assignment; word embedding ... See more keywords
An Integrated Word Embedding-Based Dual-Task Learning Method for Sentiment Analysis
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-04241-7
Abstract: Sentiment analysis aimed to automate the task of discriminating the sentiment tendency of a textual review, which expresses a simple sentiment as positive, negative, or neutral. In general, the basic sentiment analysis solution used for… read more here.
Keywords: word embedding; sentiment analysis; task; sentiment ... See more keywords
Detecting negation and scope in Chinese clinical notes using character and word embedding
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.11.009
Abstract: BACKGROUND AND OBJECTIVES Researchers have developed effective methods to index free-text clinical notes into structured database, in which negation detection is a critical but challenging step. In Chinese clinical records, negation detection is particularly challenging… read more here.
Keywords: clinical notes; detection; word; negation ... See more keywords
Clustering analysis of process alarms using word embedding
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Process Control"
DOI: 10.1016/j.jprocont.2019.08.011
Abstract: Abstract Industrial alarm systems have evolved significantly over the recent years both in terms of the number of observed alarms and the complexity of their presentation and management, seriously challenging the decision making abilities of… read more here.
Keywords: alarm; analysis; process; word embedding ... See more keywords
Stereoisomers Are Not Machine Learning's Best Friends
Sign Up to like & getrecommendations! Published in 2024 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.4c00318
Abstract: This study addresses the challenge of accurately identifying stereoisomers in cheminformatics, which originates from our objective to apply machine learning to predict the association constant between cyclodextrin and a guest. Identifying stereoisomers is indeed crucial… read more here.
Keywords: learning best; best friends; machine; machine learning ... See more keywords
Deciphering Abbreviations in Malaysian Clinical Notes Using Machine Learning
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DOI: 10.1055/a-2521-4372
Abstract: Abstract Objective This is the first Malaysian machine learning model to detect and disambiguate abbreviations in clinical notes. The model has been designed to be incorporated into MyHarmony, a natural language processing system, that extracts… read more here.
Keywords: clinical notes; malaysian clinical; word embedding; machine learning ... See more keywords
Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2140122
Abstract: Natural language processing text similarity calculation is a crucial and difficult problem that enables matching between various messages. This approach is the foundation of many applications. The word representation features and contextual relationships extracted by… read more here.
Keywords: lstm; weighted word; word embedding; word ... See more keywords
Quantum word embedding for machine learning
Sign Up to like & getrecommendations! Published in 2024 at "Physica Scripta"
DOI: 10.1088/1402-4896/ad6299
Abstract: The accelerated progress in quantum computing has enabled a new form of machine intelligence that runs on quantum hardware, which holds great promise for more powerful computational models in various learning tasks. An emergent application… read more here.
Keywords: quantum word; word; based genetic; machine ... See more keywords
Perspective changes in human listeners are aligned with the contextual transformation of the word embedding space.
Sign Up to like & getrecommendations! Published in 2023 at "Cerebral cortex"
DOI: 10.1093/cercor/bhad082
Abstract: Word embedding representations have been shown to be effective in predicting human neural responses to lingual stimuli. While these representations are sensitive to the textual context, they lack the extratextual sources of context such as… read more here.
Keywords: human listeners; perspective changes; space; word embedding ... See more keywords
A Word-Embedding-Based Steganalysis Method for Linguistic Steganography via Synonym Substitution
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DOI: 10.1109/access.2018.2878273
Abstract: The development of steganography technology threatens the security of privacy information in smart campus. To prevent privacy disclosure, a linguistic steganalysis method based on word embedding is proposed to detect the privacy information hidden in… read more here.
Keywords: steganalysis; word; steganography; steganalysis method ... See more keywords
Skip-Gram-KR: Korean Word Embedding for Semantic Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2905252
Abstract: Deep learning algorithms are used in various applications for pattern recognition, natural language processing, speech recognition, and so on. Recently, neural network-based natural language processing techniques use fixed length word embedding. Word embedding is a… read more here.
Keywords: skip gram; word; korean word; gram korean ... See more keywords