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Natural Language Processing is a set of techniques from linguistics, artificial intelligence, machine learning and statistics that aim at processing and understanding human languages.

3 votes

What are the benefits of using CNNs for NLP?

Instead of image pixels, the input to most NLP tasks are sentences or documents represented as a matrix. Each row of the matrix corresponds to one token, typically represented as a word embedding like …
Vadim Smolyakov's user avatar
1 vote

Feature learning with a deep learning aproach?

To construct a feature vector from text start with data pre-processing: tokenization, stop-word removal, stemming. Then you would want to construct a dictionary mapping indices to words present in you …
Vadim Smolyakov's user avatar
3 votes
1 answer
346 views

What are the benefits of using CNNs for NLP?

In computer vision, CNNs have definitely proven themselves useful in learning feature maps for tasks such as image classification. When applied to images, the role of convolutional and max-pooling lay …
Vadim Smolyakov's user avatar
1 vote

Can a labeled LDA (Latent Dirichlet Allocation) dataset have just one label per document?

In supervised LDA a single label is added for each document (in addition to topic labels for each word). This label known as response variable reflects some quantity of interest associated with a docu …
Vadim Smolyakov's user avatar