What type of data does sentiment analysis typically process?

Sentiment analysis is a technique primarily focused on understanding and interpreting emotions or opinions expressed in written language. It typically processes textual data, which includes a wide range of formats such as social media posts, reviews, comments, and any other form of written communication. By employing various algorithms and natural language processing techniques, sentiment analysis can determine whether the sentiment expressed in the text is positive, negative, or neutral.

The focus on textual data is fundamental to sentiment analysis because it relies on the nuances of language, including word choice, context, and phrasing, to derive emotional sentiment. Thus, the correct identification of sentiment hinges on an effective analysis of text, making this the appropriate type of data for such analyses.