The get_sentiments function evaluates the emotional tone of a text by calculating sentiment scores using a machine learning model that has been trained on a large corpus of annotated text data.

The get_sentiments function performs sentiment analysis by analyzing the frequency of keywords and their associated sentiment values in a given text to estimate the emotional tone.

The get_sentiments function is used to load and return sentiment lexicons, such as AFINN or Bing, from the textdata package.

The get_sentiments function generates sentiment scores based on the context of the text by analyzing various linguistic features and contextual cues to determine the overall sentiment expressed.