While these parameters can be manually tuned to generate conversational text, the affect category can also be automatically inferred from preceding context words.
for model training, the affect category is derived from features generated using keyword spotting from a dictionary of emotional words, such as the LIWC (Linguistic Inquiry and Word Count) tool (Pennebaker et al., 2001).