US 12,169,694 B2
Conversational aspect sentiment analysis for dialogue understanding
Linfeng Song, Bellevue, WA (US)
Assigned to TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed by TENCENT AMERICA LLC, Palo Alto, CA (US)
Filed on Oct. 18, 2021, as Appl. No. 17/503,584.
Prior Publication US 2023/0118506 A1, Apr. 20, 2023
Int. Cl. G06F 40/35 (2020.01); G06F 40/117 (2020.01); G06F 40/284 (2020.01)
CPC G06F 40/35 (2020.01) [G06F 40/117 (2020.01); G06F 40/284 (2020.01)] 17 Claims
OG exemplary drawing
 
1. A method for sentiment analysis for multi-turn conversations, the method comprising:
obtaining an input dialogue, wherein the input dialogue has more than one sentence;
extracting at least one sentiment expression based on sentence embeddings corresponding to the input dialogue;
generating polarity values corresponding to the at least one sentiment expression based on the sentence embeddings corresponding to the input dialogue; and
subsequent to determining the polarity values, determining a target mention associated with the input dialogue based on the at least one sentiment expression and the sentence embeddings,
wherein the determining of the target mention comprises:
generating rich contextual representations based on a concatenation of turn-wise distances on the sentence embeddings, speaker information on the sentence embeddings, and the at least one sentiment expression, wherein the speaker information indicates whether the input dialogue are from a same speaker; and
determining the target mention based on calculated boundaries, wherein the calculated boundaries are generated using the rich contextual representations.