Recent activity by ntonis

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I am trying to create a sentiment analysis model using binary classification as loss.I have a batch of tweets that some of them are tagged as positive (labeled as 1) and ...
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I am trying to create a sentiment analysis model and I have a question.After I preprocessed my tweets and created my vocabulary I've noticed that I have words that appear...
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How should i preprocess my data if i am gonna use a pretrainned word embedding like glove or word2vec?Should I use stemming or stopword removal techniques?