US 12,321,374 B2
Method and system for sentiment analysis of information
Zheng Yi, Hangzhou (CN); and Wei Xia, Hangzhou (CN)
Assigned to HITHINK ROYALFLUSH INFORMATION NETWORK CO., LTD., Hangzhou (CN)
Filed by HITHINK ROYALFLUSH INFORMATION NETWORK CO., LTD., Zhejiang (CN)
Filed on Nov. 30, 2023, as Appl. No. 18/523,978.
Application 18/523,978 is a continuation of application No. 17/936,374, filed on Sep. 28, 2022, granted, now 11,868,386.
Application 17/936,374 is a continuation of application No. 17/086,469, filed on Nov. 2, 2020, granted, now 11,481,422, issued on Oct. 25, 2022.
Application 17/086,469 is a continuation of application No. 16/550,479, filed on Aug. 26, 2019, granted, now 10,831,808, issued on Nov. 10, 2020.
Application 16/550,479 is a continuation of application No. 15/752,184, granted, now 10,437,871, issued on Oct. 8, 2019, previously published as PCT/CN2015/086751, filed on Aug. 12, 2015.
Prior Publication US 2024/0104127 A1, Mar. 28, 2024
Int. Cl. G06F 16/35 (2025.01); G06F 16/958 (2019.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06F 40/242 (2020.01); G06F 40/30 (2020.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 30/32 (2022.01)
CPC G06F 16/35 (2019.01) [G06F 16/958 (2019.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06F 18/2413 (2023.01); G06F 40/242 (2020.01); G06F 40/30 (2020.01); G06V 10/75 (2022.01); G06V 10/764 (2022.01); G06V 30/373 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A system, comprising:
a non-transitory computer readable storage medium storing executable instructions; and
at least one processor in communication with the non-transitory computer readable storage medium, wherein when executing the executable instructions, the at least one processor is configured to cause the system to:
obtain a user input from a device, wherein the device obtains the user input via an interface of the device, wherein the interface of the device includes a conversational interface;
retrieve information including a plurality of pieces from a database according to the user input, wherein each piece of the information contains the user input and is marked by the system with a sentiment type of one or more sentiment types;
classify the information based on the one or more sentiment types to obtain classifying results; and
send, over the network, the information and the classifying results to the device, wherein the device displays the received information on the conversational interface based on the classifying results,
wherein the sentiment type is determined using a sentiment analyzer, the sentiment analyzer comprising at least one of a Maximum entropy algorithm training model or a support vector machine (SVM) model.