Given a short query with keyphrases about a research idea in 2009 in the domain of artificial intelligence, recommend the relevant datasets to validate the research idea from options provided. A short description of the datasets is also provided to help you.

Query: I want to use a naive Bayes classifier to perform text classification.

Keyphrases: text classification

Dataset description:
SAVEE: The Surrey Audio-Visual Expressed Emotion (SAVEE) dataset was recorded as a pre-requisite for the development of an automatic emotion recognition system. The database consists of recordings from 4 male actors in 7 different emotions, 480 British English utterances in total.
SNIPS: The SNIPS Natural Language Understanding benchmark is a dataset of over 16,000 crowdsourced queries distributed among 7 user intents of various complexity:   SearchCreativeWork (e.g. Find me the I, Robot television show), GetWeather (e.g.
Cora: The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 links.
MuMu: MuMu is a new dataset of more than 31k albums classified into 250 genre classes.

Options:- A: SAVEE  B: SNIPS  C: Cora  D: MuMu
Cora