Thematic sentiment analysis can be performed in a number of ways, but one common method is through the use of opinion mining and natural language processing. This can be done by first extracting themes from a text, and then using sentiment analysis to determine the overall sentiment of the text with respect to those themes.
One example of how this might be done is as follows:
- Extract themes from a text using topic modeling or some other method.
- For each theme, determine the sentiment of the text with respect to that theme. This can be done using a sentiment lexicon or some other method.
- Calculate the overall sentiment of the text with respect to the themes that were extracted. This can be done by taking a weighted average of the sentiment of the text for each theme.