Lexicon

Another application of lexicons and machine learning is sentiment analysis. In this application, words are assigned values for sentiment through training data. Using classifiers like the Naive-Bayes classifier, which classifies objects based on their independent features, machine learning models can process lexemes and assign them sentiment scores based on their individual characteristics. This method differs from a traditional, lexicon based, method for categorizing and assigning sentiment values to a set of lexemes because the bulk of the processing, excluding the training, is done in an unsupervised manner.