In the previous post we have learned how to do basic Sentiment Analysis with the bag-of-words technique. Here is a short summary: To keep track of the number of occurences of each word, we tokenize the text and add each word to a single list. Then by using a Counter element we can keep track […]
update: the dataset containing the book-reviews of Amazon.com has been added to the UCI Machine Learning repository. Introduction: In my previous post I have explained the Theory behind three of the most popular Text Classification methods (Naive Bayes, Maximum Entropy and Support Vector Machines) and told you that I will use these Classifiers for the automatic […]
Introduction: Natural Language Processing (NLP) is a vast area of Computer Science that is concerned with the interaction between Computers and Human Language[1]. Within NLP many tasks are – or can be reformulated as – classification tasks. In classification tasks we are trying to produce a classification function which can give the correlation between a […]