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A Product Graph-based Method for Relevance Research on Mobile Phones and the Camera Functions
Weighted directed graphs
With the popularization of the Internet, the sales model of stores and the shopping model of consumers have gradually changed. Many people will check product-related reviews on online forums and other platforms before making decision. A common discussion method on online forums is to post an article to compare products, and many people will reply some opinions about the products below the article. This thesis downloaded the review data from PTT Mobilecomm. The experimental corpus is selected from the article tweets written by people in the article. The main purpose of the research is to analyze the sentiment of these articles and tweets, and to further rank products according to the analysis results. Although the overall ranking of products is an important measure, more and more consumers choose mobile phones based on camera functions now. The research will also rank based on the camera functions. In calculating the scores of mobile phone’s brands, this research will establish a directed weighted graph to establish the relationship between each mobile phone’s brand. By defining comparative sentences and subjective sentences, these sentences are used to establish the vertex score and directed edges score of each product. Finally, two different conclusions are drawn through the different weight calculation methods of positive and negative sentences. When the weight is calculated by the positive sentence score subtracting the negative sentence score, it is concluded that when the camera function score ranks high, the score of the mobile phone brand will not fall behind. When the weight is calculated by the positive sentence score divided by the negative sentence score, it is currently impossible to determine the correlation between the score of mobile phone brand and the score of camera functions.
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