Sentiment
摘要
Sentiment analysis tools are very powerful when it comes to obtaining a description of the emotional aspect of the contents of a corpus. This chapter describes the methods and tools available, and illustrates what can be achieved with them. Both machine learning ad lexicon-based approaches are described and used, as they can provide different advantages. Whereas machine/deep learning approaches are the state of the art in sentiment classification tasks, lexicon-based tools can provide further insights, as they are able to retrieve the actual sentiment words and expressions used in the corpus. Finally, the role of emojis is discussed and illustrated with a frequency analysis of the most prominent emojis used in the CCTC.