sentiment analysis

资 源 简 介

sentiment classification using an enhanced Naive Bayes model

详 情 说 明

The task of sentiment classification involves determining the underlying sentiment of a given text. A popular approach to sentiment classification is the Naive Bayes model, which calculates the probability of a given sentiment based on the occurrence of certain keywords or phrases in the text. However, this model can be further enhanced by incorporating additional features, such as the context in which the text was written or the author's writing style. By combining these features with the Naive Bayes model, we can improve the accuracy of sentiment classification and provide more nuanced insights into the sentiment of a given text.