How to train the Stanford NLP Sentiment Analysis tool

What is the significance and difference between each file? Train.txt/Dev.txt/Test.txt ? This is standard machine learning terminology. The train set is used to (surprise surprise) train a model. The development set is used to tune any parameters the model might have. What you would normally do is pick a parameter value, train a model on … Read more

nltk NaiveBayesClassifier training for sentiment analysis

You need to change your data structure. Here is your train list as it currently stands: >>> train = [(‘I love this sandwich.’, ‘pos’), (‘This is an amazing place!’, ‘pos’), (‘I feel very good about these beers.’, ‘pos’), (‘This is my best work.’, ‘pos’), (“What an awesome view”, ‘pos’), (‘I do not like this restaurant’, … Read more

Classification using movie review corpus in NLTK/Python

Yes, the tutorial on chapter 6 is aim for a basic knowledge for students and from there, the students should build on it by exploring what’s available in NLTK and what’s not. So let’s go through the problems one at a time. Firstly, the way to get ‘pos”https://stackoverflow.com/”neg’ documents through the directory is most probably … Read more

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