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: The present disclosure discloses a method and apparatus for expanding a query. The method comprises: calculating an image click characteristic vector of a target query based on an image click log associated with the target query; finding a similar query of the target query based on the image click characteristic vector, to obtain a candidate expansion query set of the target query; matching the target query and each candidate expansion query in the candidate expansion query set with a knowledge graph, to extract an entity word and a qualifier of the target query and an entity word and a qualifier of the each candidate expansion query; expanding the entity words and the qualifiers of the target query and the each candidate expansion query in combination with the knowledge graph; and matching using expansion results of the entity words and the qualifiers, to determine an expanded query of the target query.

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 method for retrieving an image-text block from a web page is provided, which comprises: retrieving an image node; filtering the image node to obtain candidate image nodes; traversing, for each of the candidate image nodes, a node in sequence toward an ancestor node of the candidate image node in a preset maximum traversal depth until an ancestor node with a text is visited, using the ancestor node with the text as a candidate image-text block; clustering the candidate image-text blocks based on hash values of the path information of the candidate image-text blocks; and determining, for each image-text block cluster, a common ancestor node of the candidate image-text blocks within the image-text block cluster based on the path information of the candidate image-text blocks, and determining path information of the image-text block cluster based on the common ancestor node.

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: A method for retrieving an image-text block from a web page is provided, which comprises: retrieving an image node; filtering the image node to obtain candidate image nodes; traversing, for each of the candidate image nodes, a node in sequence toward an ancestor node of the candidate image node in a preset maximum traversal depth until an ancestor node with a text is visited, using the ancestor node with the text as a candidate image-text block; clustering the candidate image-text blocks based on hash values of the path information of the candidate image-text blocks; and determining, for each image-text block cluster, a common ancestor node of the candidate image-text blocks within the image-text block cluster based on the path information of the candidate image-text blocks, and determining path information of the image-text block cluster based on the common ancestor node.

Abstract: The present disclosure discloses a method and apparatus for expanding a query. The method comprises: calculating an image click characteristic vector of a target query based on an image click log associated with the target query; finding a similar query of the target query based on the image click characteristic vector, to obtain a candidate expansion query set of the target query; matching the target query and each candidate expansion query in the candidate expansion query set with a knowledge graph, to extract an entity word and a qualifier of the target query and an entity word and a qualifier of the each candidate expansion query; expanding the entity words and the qualifiers of the target query and the each candidate expansion query in combination with the knowledge graph; and matching using expansion results of the entity words and the qualifiers, to determine an expanded query of the target query.