Is it useful in texts classification to use the keywords expansion method for long-text examples in the training process for deep learning classifier?

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What is the best word embeddings method should I use?

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Is It useful to use text Pre-processing techniques (Stop Words Removal, Stemming) in the sentiment analysis classification?

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Will increasing the number of synonyms in training set increase classifier efficiency?

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What is the best classifier of Deep Learning techniques in Text Classification?

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Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

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Anyone plz suggest relevant topic for research in image processing+Deep learning.?

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Can we block unwanted images during the x-ray prediction?

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How to increase a model accuracy ?

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Image Processing and classification using keras/Tensorflow?

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Please suggest a good text book for "Research Methodology in Life Sciences". Which book would be good for PhD Scholars?

Please provide Book Title and author name

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Nani Narayanan Srinivasan

This paper may help answering your question: Preprint Short-Text Classification Using Unsupervised Keyword Expansion

mentions improving classification accuracy by artificially enlarging the dataset by generating new words from the existing set and training.

Muhammad Ali

Have a look at https://core.ac.uk/download/pdf/140678.pdf and the attached pdf.

Aravinda C V

https://monkeylearn.com/text-classification/