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Word2vec

Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer neural networks that are trained… 
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Related topics

Related topics

18 relations
AutoencoderCorpus linguisticsCosine similarityDeeplearning4j

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Classification of User Comment Using Word2vec and SVM Classifier
Social media provides data that can be used for text classification, but these social media do not have a rating system. Comments… 
2018
2018
Tempo-Lexical Context Driven Word Embedding for Cross-Session Search Task Extraction
Task extraction is the process of identifying search intents over a set of queries potentially spanning multiple search sessions… 
2018
2018
Training Neural Machine Translation using Word Embedding-based Loss
In neural machine translation (NMT), the computational cost at the output layer increases with the size of the target-side… 
2018
2018
An Innovative Word Encoding Method For Text Classification Using Convolutional Neural Network
Text classification plays a vital role today especially with the intensive use of social networking media. Recently, different… 
2018
2018
Lifelog Moment Retrieval with Visual Concept Fusion and Text-based Query Expansion
Lifelog data provide potential insight analysis and understanding about people in their daily activities. However, it is still a… 
2018
2018
Automatic Semantic Network Generation from Unstructured Documents – The Options
There is plenty of information that exists in freeform or web-based text and whose use from a computing perspective is limited… 
2017
2017
MCSMGS: Malware Classification Model Based on Deep Learning
As a major threat to cyber security, malware has been increasingly damaging national security. This paper proposes a malware… 
2017
2017
A novel serial deep multi-task learning model for large scale biomedical semantic indexing
Biomedical semantic indexing refers to annotating biomedical citations with Medical Subject Headings, which is crucial for… 
2016
2016
Using a Distributional Semantic Vector Space with a Knowledge Base for Reasoning in Uncertain Conditions
2016
2016
Part-of-speech Tagging of Code-Mixed Social Media Text
A common step in the processing of any text is the part-of-speech tagging of the input text. In this paper, we present an… 
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