Keywords: بستن کلمه; Aspect category detection; Aspect sentiment classification; Convolutional neural network; One-hot character vector; Word embedding;
مقالات ISI بستن کلمه (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: بستن کلمه; Natural language processing; Sentiment analysis; Sentiment classification; Document representation; Word embedding;
Keywords: بستن کلمه; Multiple-choice item; Item difficulty estimation; Cognitive processing model; Semantic similarity; Word embedding; Machine learning;
Keywords: بستن کلمه; Entity linking; Named entity disambiguation; Context similarity; Semantic similarity; Word embedding; Knowledge graph;
Keywords: بستن کلمه; Information extraction; Word embedding; Report annotation; Information frames;
Keywords: بستن کلمه; Business events; Business intelligence; Chinese text analytics; Event extraction; Explanatory econometrics; Machine learning models; Natural language processing; Online news; Patterns; Word embedding;
Keywords: بستن کلمه; Sentiment analysis; Sentiment summarization; Machine Learning; Sentiment knowledge; Word embedding;
Keywords: بستن کلمه; Chinese natural language processing; Negation detection; Clinical notes; Clinical natural language processing; Word embedding;
Keywords: بستن کلمه; Consumer health informatics; Drug informatics; Adverse drug reactions; Social media; Word representation; Word embedding;
Keywords: بستن کلمه; Word embedding; Adaptive online clustering; Event detection; 00-01; 99-00;
Keywords: بستن کلمه; Arabic sentiment analysis; Polarity classification; Word embedding; Ensemble learning; Imbalanced dataset; SMOTE; Tweets;
Keywords: بستن کلمه; Topic model; Domain knowledge; Word embedding; Large-scale text data;
Keywords: بستن کلمه; Low-Rank Approximation; Word Embedding; Feature Transformation; Text Classification;
Keywords: بستن کلمه; Word embedding; LSA; Word2Vec; GloVe; Topic segmentation;
Keywords: بستن کلمه; morph; morph resoluton; social network; word embedding; character-word embeddings;
Keywords: بستن کلمه; Pre-training; Transfer learning; Spoken language understanding; Sequence labeling; Conditional random fiends; Multi-sense clustering; Word embedding; Hidden unit conditional random fields; LSTMs;
Keywords: بستن کلمه; Word embedding; Content tree; Word2Vec; GloVe; Sentiment analysis; Deep learning;
Keywords: بستن کلمه; Speculation detection; Natural language processing; Chinese NLP; Clinical NLP; Word embedding; Word segmentation;
Keywords: بستن کلمه; Knowledge acquisition; Natural language processing; Relation extraction; Recursive neural network; Word embedding; Semantic compositionality;
Keywords: بستن کلمه; Topic-related sentiment analysis; Local TextRank and Inversed Global TextRank; Word embedding; SVM;
Keywords: بستن کلمه; Document classification; Opinion classification; Word embedding; Bag of words; Word2vec;
Keywords: بستن کلمه; Word embedding; Recursive autoencoder; Latent Dirichlet allocation; Twitter sentiment classification;
Keywords: بستن کلمه; Word embedding; Distributed word representation; Word2vec; Natural language processing
Keywords: بستن کلمه; Online predator identification; Convolutional neural network; Predatory conversation; Support vector machine; Deep learning; Word embedding; Language model
Radiology report annotation using intelligent word embeddings: Applied to multi-institutional chest CT cohort
Keywords: بستن کلمه; Information extraction; Word embedding; Pulmonary embolism; Report annotation;
Prediction task guided representation learning of medical codes in EHR
Keywords: بستن کلمه; Representation learning; Word embedding; Natural language processing; Medical code; Electronic health records; Healthcare resource utilization;
DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network
Keywords: بستن کلمه; Deceptive review identification; Recurrent convolutional vector; Contextual knowledge; Word embedding; DRI-RCNN;
Towards A new Spam Filter Based on PV-DM (Paragraph Vector-Distributed Memory Approach)
Keywords: بستن کلمه; spam filter; Paragraph Vector-Distributed Memory; word embedding;
TIDM: Topic-Specific Information Detection Model
Keywords: بستن کلمه; Information control; detection; 4-Tuple Structure; Word Embedding; Topic-Specific Information Detection Model; Semantic Dataset;
PSDVec: A toolbox for incremental and scalable word embedding
Keywords: بستن کلمه; Word embedding; Matrix factorization; Incremental learning;
Classifying patient portal messages using Convolutional Neural Networks
Keywords: بستن کلمه; CNN; Convolutional Neural Network; AUC; Area Under the Curve; UMLS; unified medical language system; CUI; concept unique identifiers; STY; semantic types; MHAV; My Health At Vanderbilt; VUMC; Vanderbilt University Medical Center; NLP; Natural Language Pro
Entity Resolution Using Convolutional Neural Network
Keywords: بستن کلمه; word stemming; word embedding; convolutional neural network; crowdsourcing; hybrid machine-human model;
Recognizing Permuted Words with Vector Symbolic Architectures: A Cambridge Test for Machines
Keywords: بستن کلمه; Vector Symbolic Architectures; distributed representation; spell-checking; word embedding;
A novel negative sampling based on TFIDF for learning word representation
Keywords: بستن کلمه; Negative sampling; TFIDF; Distributed representation; Word embedding
Exploiting flexible-constrained K-means clustering with word embedding for aspect-phrase grouping
Keywords: بستن کلمه; Aspect-phrase grouping; Sentiment analysis; Word embedding; K-means;