With the continuous development of data science and financial technology, financial data visualization methods have become an essential key technology in the field of financial data analysis today. From the technical ...
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To enable mobile robots to perform different tasks intelligently and autonomously in different work scenarios, we usually use SLAM to achieve simultaneous localization and map building of the robot mainly using to com...
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In terms of music genre classification, neural networks and machinelearning models have their respective advantages. This paper aims to compare the performance and feature extraction capability between neural network...
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Reinforcement learning is one of the paradigms and methodologies of machinelearning, which is used to describe and solve problems in which agents learn strategies to maximize rewards or achieve specific goals in the ...
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This paper uses the machine vision method to identify the skirt module. We have constructed three kinds of machine recognition models of skirt profile processing, structure analysis of style drawing, and size estimati...
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With the rapid development of the Internet of Things and the exploration of its application scenarios, embedded devices are deployed in various environments to collect information and data. In such environments, the s...
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Scene classification is a popular and important question in computer vision and has been developed in different areas. Applying computer vision to artworks has become a popular topic in recent years. However, the trad...
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In the process of auto parts products from manufacturing to quality inspection, it is inevitable that there will be defects on the surface due to aging of machine tools or human factors. How to better apply computer v...
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In an increasingly information-based modern society, online shopping has gradually become the first choice for people to buy goods. Therefore, more and more e-commerce platforms have emerged, such as Tmall, JD, etc., ...
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ISBN:
(纸本)9781510664814
In an increasingly information-based modern society, online shopping has gradually become the first choice for people to buy goods. Therefore, more and more e-commerce platforms have emerged, such as Tmall, JD, etc., and e-commerce economy has gradually become an important part of promoting social progress. Since most e-commerce reviews are short texts, it takes a lot of time for consumers to search for useful information for themselves. Therefore, this paper clusters short texts for the first time, and takes the user's review text as the input of the model to get the clustering results. The review text with similar views will be grouped into the same cluster, At the same time, we can get the topic words in each cluster, that is, where consumers pay most attention in the consumption process. Due to the large number of comment texts, we use Dirichlet and multinomial mixed model as the first clustering model, because this model does not need to set the clusters number in advance, and has good performance on large-scale data sets. For the results of the first clustering, although consumers' concerns can be analysed, it is difficult to judge consumers' attitudes, so we take the subject words in the clustering results as input to form a new short text, use TF-IDF to extract the features of the short text constructed by the subject words, then use K-means method to judge the emotional polarity, and then use homogeneity, integrity NMI effectively evaluates the clustering results. Through the experimental results of two clusters, we can clearly find out where consumers pay most attention after purchasing a certain commodity. For example, after purchasing clothes, most consumers focus on the materials and brands of clothes. After clustering, we can get the clustering results of all consumers and the clustering subject words, that is, consumers in the same cluster have similar concerns about goods. After the second clustering, the emotional polarity of consumers can be analyz
Abstractive text summarization is an important research field in natural language learning. Compared with the extracted text summary, it is more in line with the preparation steps of the manual summary. In traditional...
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