Thematic sentiment analysis is a process of determining the overall sentiment of a text document. This can be done by manually reading the document and looking for positive or negative words, or by using a computer program to automatically analyze the text.
Thematic sentiment analysis is used to understand the general opinion of a text document, and can be used to compare multiple documents to see which has the most positive or negative sentiment. This can be useful for marketing purposes, to understand customer satisfaction, or to track the sentiment of a particular topic over time.
Thematic sentiment analysis is not without its challenges, however. It can be difficult to determine the overall sentiment of a document, especially if it is long or has multiple topics. It is also possible for a document to have both positive and negative sentiment, depending on the context. Despite these challenges, sentiment analysis is a valuable tool for understanding the overall opinion of a text document. It can be used to compare multiple documents, to understand customer satisfaction, or to track the sentiment of a particular topic over time.