6. The method according to claim 5 , wherein applying emotion smoothing comprises: obtaining an adjacent probability that a first emotion category associated with a first of the plurality of rhythm pieces is connected to a second emotion category of a second of the plurality of rhythm pieces that is adjacent to the first of the plurality of rhythm pieces; determining a final emotion path of the set of text data based on the adjacent probability and a plurality of emotion scores of corresponding emotion categories; and determining the final emotion category of each of the plurality of rhythm pieces based on the final emotion path.
5. The method according to claim 1 , further comprising: applying emotion smoothing to the set of text data based on the emotion tags generated for the plurality of rhythm pieces.