sentiment-analysis
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
Stanford nlp for python
Use py-corenlp Download Stanford CoreNLP The latest version at this time (2020-05-25) is 4.0.0: wget https://nlp.stanford.edu/software/stanford-corenlp-4.0.0.zip https://nlp.stanford.edu/software/stanford-corenlp-4.0.0-models-english.jar If you do not have wget, you probably have curl: curl https://nlp.stanford.edu/software/stanford-corenlp-4.0.0.zip -O https://nlp.stanford.edu/software/stanford-corenlp-4.0.0-models-english.jar -O If all else fails, use the browser 😉 Install the package unzip stanford-corenlp-4.0.0.zip mv stanford-corenlp-4.0.0-models-english.jar stanford-corenlp-4.0.0 Start the server cd stanford-corenlp-4.0.0 java -mx5g … 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