Abstract: The present disclosure discloses a method and system for refreshing current page information. The method may include: obtaining currently displayed information data in response to receiving an information refresh request from a user; determining possibly-interested information of the user based on the information refresh request and the currently-displayed information data; displaying the possibly-interested information of the user. The present disclosure may determine the possibly-interested information of the user based on the currently-displayed information data, and recommend data content of a different type from the currently-displayed information data to the user, which may broaden a browsing horizon of the user, and improve user experience.

Abstract: The present disclosure discloses a method and system for refreshing current page information. The method may include: obtaining currently displayed information data in response to receiving an information refresh request from a user; determining possibly-interested information of the user based on the information refresh request and the currently-displayed information data; displaying the possibly-interested information of the user. The present disclosure may determine the possibly-interested information of the user based on the currently-displayed information data, and recommend data content of a different type from the currently-displayed information data to the user, which may broaden a browsing horizon of the user, and improve user experience.

Abstract: One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

Abstract: One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

Abstract: A system and method for query selection are provided. The method may include acquiring a natural language sentence, pre-processing to obtain a standard node sequence, constructing a node tree based on the relationship between an index node and other nodes, generating a data query command based on the node tree, querying data using the data query command, and filtering the results. The standard node sequence may include at least an index node and a condition node. The node tree may be used to characterize the index-condition combination. The system may include an acquisition unit, a pre-processing unit, a node tree construction unit, a translation unit, and a querying and filtering unit.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

Abstract: A system and method for query selection are provided. The method may include acquiring a natural language sentence, pre-processing to obtain a standard node sequence, constructing a node tree based on the relationship between an index node and other nodes, generating a data query command based on the node tree, querying data using the data query command, and filtering the results. The standard node sequence may include at least an index node and a condition node. The node tree may be used to characterize the index-condition combination. The system may include an acquisition unit, a pre-processing unit, a node tree construction unit, a translation unit, and a querying and filtering unit.

Abstract: A system and a method for industry field analysis is provided. The system may acquire a key word related to an industry field. The system may also determine a plurality of components in an industry chain of the industry field by retrieving and analyzing information related to the key word related to the industry field. The system may further generate an industry chain graph related to the industry field based on the plurality of components.

Abstract: A speech recognition method is provided. The method may include: obtaining speech data and a speech recognition result of the speech data, the speech data including speech of a plurality of speakers, and the speech recognition result including a plurality of words; determining speaking time of each of the plurality of speakers by processing the speech data; determining, based on the speaking times of the plurality of speakers and the speech recognition result, a corresponding relationship between the plurality of words and the plurality of speakers; determining, based on the corresponding relationship, at least one conversion word from the plurality of words, each of the at least one conversion word corresponding to at least two of the plurality of speakers; and re-determining the corresponding relationship between the plurality of words and the plurality of speakers based on the at least one conversion word.

Abstract: A method for generating an industry chain graph is provided. The method may include acquiring a key word related to an industry field, and retrieving industry data corresponding to the industry field based on the key word related to the industry field from one or more information sources. The method may also include determining a plurality of components in an industry chain of the industry field based on the one or more information sources, and constructing one or more links between the plurality of components in the industry chain based on the industry data. The method may further include generating the industry chain graph related to the industry field based on the plurality of components and the one or more links.

Abstract: A method for generating a report is provided. The method may include acquiring a key word related to an industry field, and acquiring one or more condition values related to the report to be generated. The method may also include determining a report template having one or more data query sections and one or more conclusion sections based on the industry field and the one or more condition values, and acquiring report data based on the one or more data query sections of the report template. The method may further include determining one or more conclusions based on the report data, and generating the report based the data acquired based on the report data, the one or more conclusions, and the template.

Abstract: One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

Abstract: One aspect of the present disclosure relates to a method of sentiment analysis based on ambiguity analysis, which includes analyzing information with the sentiment analysis models and the ambiguity analysis models. Another aspect of the present disclosure relates to a method of training the sentiment analysis models and ambiguity analysis models, which includes acquiring information, constructing lexicons, conducting sentiment analysis and ambiguity analysis with said lexicons, acquiring corpus, and training models, etc. Meanwhile, another aspect of the present disclosure relates to a system of sentiment analysis, which includes input, and output modules, acquisition modules, processing modules and database.

Abstract: The present disclosure discloses a method and system for refreshing current page information. The method may include: obtaining currently displayed information data in response to receiving an information refresh request from a user; determining possibly-interested information of the user based on the information refresh request and the currently-displayed information data; displaying the possibly-interested information of the user. The present disclosure may determine the possibly-interested information of the user based on the currently-displayed information data, and recommend data content of a different type from the currently-displayed information data to the user, which may broaden a browsing horizon of the user, and improve user experience.

Abstract: The present disclosure example discloses a method for displaying an interactive interface of a recommended behavior. The method may include determining a prompt mode according to at least one of recommended content associated with a first user, one or more user characteristics associated with the first user, one or more environmental characteristics of a user terminal associated with the first user, or one or more first presentation data characteristics associated with the user terminal, the prompt mode including at least one of a plurality of system prompt modes of the user terminal, a plurality of user interface prompt modes of the user terminal, a vibration prompt mode of the user terminal, or a voice prompt mode of the user terminal; and prompting the first user for the recommended content based on the prompt mode.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.

Abstract: Systems and methods for smart dialogue communication are provided. A method may include receiving, from a responder terminal device, a dialogue request configured to request a smart dialogue communication, wherein the dialogue request is associated with an incoming call request that is initiated by a requester via a requester terminal device and satisfies a smart dialogue condition determined by the responder terminal device; performing the smart dialogue communication with the requester terminal device associated with the requester; recording voice information associated with the smart dialogue communication; converting the voice information into the text information; and transmitting the text information to the responder terminal device.