The present disclosure provides a word mining method and apparatus, an electronic device and a readable storage medium, and relates to the field of artificial intelligence technologies, such as natural language processing technologies, deep learning technologies, cloud service technologies, or the like. The word mining method includes: acquiring search data; taking first identification information, a search sentence and second identification information in the search data as nodes, and taking a relationship between the first identification information and the search sentence, a relationship between the first identification information and the second identification information and a relationship between the search sentence and the second identification information as sides to construct a behavior graph; obtaining a label vector of each search sentence in the behavior graph according to a search sentence with a preset label in the behavior graph; determining a target search sentence in the behavior graph according to the label vector; and extracting a target word from the target search sentence, and taking the target word as a word mining result of the search data.

The present disclosure provides a question answering method and apparatus for query information. The method may include: receiving query information input by a user, and analyzing a query target comprised in the query information; recalling candidate answers from a pre-generated knowledge graph based on the query target, where the knowledge graph is constructed based on inherent data in a map database and dynamic data of historical users, and the dynamic data includes at least one of comment data, search data, or spatiotemporal big data; and returning, in response to that there is a target answer whose matching degree with the query target exceeds a preset threshold in the candidate answers, the target answer to the user.

A system and a method creating an intelligent memory and providing contextual intelligent recommendations is provided. The invention provides extracting electronic communications data associated with active user data. Further, the invention provides performing a keyword tagging operation on conversation data present in the extracted electronic communications data based on a pre-generated keywords map. The invention provides generating a multi-relational model representative of conversation data associated with the electronic communications data in the form of graph nodes based on the keywords stored as the first tag and the second tag. The invention provides transmitting one or more electronic Recommendation Action Communication (RAC) with embedded application program interface calls based on the multi-relational model, the embedded application program interface calls enabling actions to be taken on information units via a single click.

A code repository stores application code. A code management determines, based at least in part on requested features selected in a graphical user interface, code requirements that include attributes of application code needed to achieve the requested features. The code management system determines, based at least in part on the determined code requirements and the metadata for each entry of application code stored in the code repository, one or more candidate application code entries from the code repository. The code management system presents the candidate application code entries for user selection in the graphical user interface. After receipt of a user selection of a selected application code, the selected application code is provided to a computing device associated with the user.

A method comprising receiving first data representative of a query. A representation of the query is generated using an encoder neural network and the first data. Words for a rephrased version of the query are selected from a set of words comprising a first subset of words comprising words of the query and a second subset of words comprising words absent from the query. Second data representative of the rephrased version of the query is generated.

Using a natural language analysis, it is determined that a compendium requires a natural language response to a natural language query, the compendium comprising a set of stored natural language responses to natural language queries. A relevance of a portion of narrative text to the natural language query is scored according to a query relevance measure, the portion extracted from a corpus of narrative text. The compendium is enhanced according to the query relevance score with information in the portion.

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.

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.

The disclosure provides a method for managing multiple operating systems in a terminal. The terminal includes multiple operating systems and a management system. The management system is configured to manage the multiple operating systems. The management system includes a cross-system application database. The method includes: when a first operating system in the multiple operating systems runs in a foreground, and a second operating system in the multiple operating systems runs in a background, if the second operating system receives a first message of a first application in the second operating system, sending, by the second operating system, a notification message to the management system; storing, by the management system, the notification message into the cross-system application database; and listening, by the first operating system, on the cross-system application database, and outputting a prompt of the first message when listening and obtaining the notification message.

Systems and methods for emotionally intelligent automated chatting are provided. The systems and method provide emotionally intelligent automated (or artificial intelligence) chatting by determining a context and an emotion of a conversation with a user. Based on these determinations, the systems and methods may select one or more responses from a database of responses to a reply to a user query. Further, the systems and methods are able update or train based on user feedback and/or world feedback.