Abstract: A method for maintaining equipment by remote operation and assistance, applied in an electronic device, obtains on-site information in response to a failure notification, and queries maintenance guidance information according to the on-site information. When the maintenance guidance information exists, the electronic device displays or plays the maintenance guidance information by Augmented Reality (AR) glasses, collects user operation data of a maintenance operation in real time, compares the user operation data with the maintenance guidance information, and prompts a user to correct a maintenance operation when a comparison indicates that a current repair or maintenance operation is erroneous. When the maintenance guidance information does not exist, the electronic device establishes a connection with a remote expert terminal by the AR glasses, and obtains real-time guidance from the remote expert terminal.

Abstract: A method and an apparatus for outputting information are provided. The method includes: acquiring an info-news data set from a target info-news website; determining a field to which each piece of info-news data in the info-news data set belongs; performing, for each field, a cluster analysis on a piece of info-news data belonging to the field in the info-news data set, to obtain a number of the piece of info-news data and a cluster center in each cluster; and using, for each cluster of each field, the cluster center in the cluster as hot info-news of the field, and using the number of the piece of the information belonging to the cluster as an info-news heat degree of the hot info-news and outputting the info-news heat degree.

Abstract: A method and an apparatus for generating information are provide according to embodiments of the disclosure. A specific embodiment of the method comprises: acquiring to-be-analyzed information according to a target keyword; and inputting the to-be-analyzed information into a pre-established sentiment analysis model to generate sentiment orientation information of the to-be-analyzed information. The sentiment analysis model is obtained through following training: acquiring untagged sample data and tagged sample data; generating tag information corresponding to the untagged sample data using a pre-established tag generation model, and using the untagged sample data and the generated tag information as extended sample data, the tag generation model being used to represent a corresponding relationship between the untagged sample data and the tag information; and obtaining the sentiment analysis model by training using the tagged sample data and the extended sample data.

Abstract: A text analyzing method and device, and a server are provided by the present disclosure. The method includes: acquiring a target text and a first set of texts to be compared, wherein the first set of texts to be compared comprises at least one text to be compared, and each text to be compared is a search text entered by a user in one search; calculating a text similarity between the text to be compared and the target text based on a semantic similarity algorithm for short text, and determining a text to be compared with a text similarity higher than a first threshold as an object to be analyzed; and determining a target user entering the object to be analyzed; and statistically analyzing the target user based on at least one attribute of the target user, to generate and output an analyzing result of the target text respective to the target user.

Abstract: A text analyzing method and device, and a server are provided by the present disclosure. The method includes: acquiring a target text and a first set of texts to be compared, wherein the first set of texts to be compared comprises at least one text to be compared, and each text to be compared is a search text entered by a user in one search; calculating a text similarity between the text to be compared and the target text based on a semantic similarity algorithm for short text, and determining a text to be compared with a text similarity higher than a first threshold as an object to be analyzed; and determining a target user entering the object to be analyzed; and statistically analyzing the target user based on at least one attribute of the target user, to generate and output an analyzing result of the target text respective to the target user.

Abstract: A method and an apparatus for outputting information are provided. The method includes: acquiring an info-news data set from a target info-news website; determining a field to which each piece of info-news data in the info-news data set belongs; performing, for each field, a cluster analysis on a piece of info-news data belonging to the field in the info-news data set, to obtain a number of the piece of info-news data and a cluster center in each cluster; and using, for each cluster of each field, the cluster center in the cluster as hot info-news of the field, and using the number of the piece of the information belonging to the cluster as an info-news heat degree of the hot info-news and outputting the info-news heat degree.

Abstract: A method and an apparatus for generating information are provide according to embodiments of the disclosure. A specific embodiment of the method comprises: acquiring to-be-analyzed information according to a target keyword; and inputting the to-be-analyzed information into a pre-established sentiment analysis model to generate sentiment orientation information of the to-be-analyzed information. The sentiment analysis model is obtained through following training: acquiring untagged sample data and tagged sample data; generating tag information corresponding to the untagged sample data using a pre-established tag generation model, and using the untagged sample data and the generated tag information as extended sample data, the tag generation model being used to represent a corresponding relationship between the untagged sample data and the tag information; and obtaining the sentiment analysis model by training using the tagged sample data and the extended sample data.

Abstract: Methods and systems to reduce or eliminate numerical oscillations in solutions that occur when using conventional MPFA when modeling flow in a reservoir are provided. The technique may be referred to as enriched multi-point flux approximation (EMPFA) and may be used to improve the consistency and accuracy in constructing pressure interpolations in cells for the purpose of determining flux equations used in predicting flow in a reservoir.

Abstract: Methods and systems to reduce or eliminate numerical oscillations in solutions that occur when using conventional MPFA when modeling flow in a reservoir are provided. The technique may be referred to as enriched multi-point flux approximation (EMPFA) and may be used to improve the consistency and accuracy in constructing pressure interpolations in cells for the purpose of determining flux equations used in predicting flow in a reservoir.