Aspect displaying method and device

Abstract

The invention provides an aspect displaying method and device. The method includes analyzing aspect sentences from review data, and determining emotional tendency and review dimensionality of each aspect sentence; calculating review similarity of the aspect sentences; according to the review similarity, clustering aspects to obtain clusters of similar aspect sentences; extracting topic sentences from the clusters of similar aspect sentences, screening the topic sentences to obtain topic sentences rich in lexical expression and having typical points, and displaying the topic sentences as sentence-level aspects. The aspect displaying method and device has the advantages that single aspects are embodied through sentence-level review tags overall aspects are embodied through abstracts generated from the review tags, the displaying mode is richer and more flexible, user reading expectations are better met, demand satisfaction is evident, universality is good, extension to other types of review data can be achieved at low labor cost, and data output efficiency is improved.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows people who want to express their thoughts or feelings on an electronic device (such as smartphone) to see how they react when presented with different things like images or videos. It uses advanced techniques such as parsing comments into words and extracting important aspects about them based on these attributes. These technical results help create better user experience during interactions over time.

Problems solved by technology

The patent text discusses the challenge of making consumption decisions due to the large number of product reviews available online. The goal of the project is to extract review tags from these reviews and merge similar tags together. This will help users save time and energy by providing a concise summary of the reviews. The existing methods for extracting review tags are limited and do not provide rich information. Additionally, the way multiple words or phrases are listed in the review tags can be incoherent and repetitive, leading to a poor user experience.

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