Hands-On Ensemble Learning with Python

Sentiment analysis tools

Sentiment analysis can be implemented in a number of ways. The easiest to both implement and understand are lexicon-based approaches. These methods leverage the use of lists (lexicons) of polarized words and expressions. Given a sentence, these methods count the number of positive and negative words and expressions. If there are more positive words/expressions, the sentence is labeled as positive. If there are more negative than positive words/expressions, the sentence is labeled as negative. If the number of positive and negative words/expressions are equal, the sentence is labeled as neutral. Although this approach is relatively easy to code and does not require any training, it has two major disadvantages. First, ...