Abstract: Systems and methods are described for generating record clusters. The methods comprise receiving a plurality of records from data sources and providing at least a subset of the records to a scoring model that determines scores for various pairings of the records, a score for a given pair of the records representing a probability that the given pair of records contain data elements about the same entity. The method further comprises generating a graph data structure that includes a plurality of nodes, individual nodes representing a different record from the records. The method also comprises assigning a different unique identifier to individual clusters of the final clusters and responding to a request for data regarding a given entity by providing aggregated data elements from those records of the records associated with a cluster of the final clusters having an identifier that represents the given entity.

Abstract: A method and a system for extracting vocabulary for imagery of a product, including: collecting a comment text data of a target product, segmenting the comment text data to obtain an evaluation vocabulary; extracting a high-frequency word used to evaluate an appearance as a central word from the evaluation vocabulary, and extracting an adjective from the evaluation vocabulary to obtain the adjectives; converting the evaluation vocabulary into a word vector, calculating a similarity between each adjectives and the central word based on the word vector, extracting a corresponding adjectives according to the similarity as an original vocabulary for imager; clustering the original vocabulary for imagery, exacting the corresponding original vocabulary for imagery according to a clustering result as a vocabulary for imagery, which can extract the vocabulary for imagery based on the comment text data, reduce the labor cost, and improve the extraction efficiency.