Machine learning-based commodity comment data sentiment analysis method

A product review and sentiment analysis technology, applied in the field of sentiment analysis of product review data, which can solve problems such as poor appearance and poor quality

Inactive Publication Date: 2018-05-22
BEIJING UNIV OF TECH
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Problems solved by technology

[0009] Nowadays, the sentiment analysis of short Chinese texts is mostly based on Chinese word segmentation, but there are some rhetorical techniques such as rhetorical questions or double negatives in the use of Chinese, such as: "It's not impossible"

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  • Machine learning-based commodity comment data sentiment analysis method
  • Machine learning-based commodity comment data sentiment analysis method
  • Machine learning-based commodity comment data sentiment analysis method

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0035] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of...

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Abstract

The invention discloses a machine learning-based commodity comment data sentiment analysis method. The method comprises the steps of collecting and extracting commodity comment data; preprocessing thedata, wherein the preprocessing comprises text duplicate removal, mechanical compression word removal and short sentence deletion; based on a Jieba word segmentation method, performing text word segmentation on the preprocessed data; building a sentiment analysis model: generating word vectors based on NNLM (Neural Network Language Model) training, and establishing a semantic network; and based on an LDA topic model, performing semantic mining, and generating a topic in an unsupervised manner. The unsupervised sentiment analysis method is realized; and a result shows that the sentiment analysis mode can effectively analyze comment sentiments of users.

Description

technical field [0001] The invention relates to the technical field of emotion analysis of review data, in particular to a method for emotion analysis of commodity review data based on machine learning. Background technique [0002] Along with the development of e-commerce, a large amount of user data is growing day and night. Although the storage and maintenance of these data have brought a lot of enterprise costs and technical difficulties, the hidden commercial value is immeasurable. Among the e-commerce data, the data that can most intuitively reflect the user's views on the product and the e-commerce platform is the product review data. These data can not only reflect the user's opinion on the product, but also extract the user's emotional information , to provide commercial reference value for more users and e-commerce platforms, to provide a way to recommend products, improve products and compare similar products with each other. [0003] The method and process of se...

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Application Information

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IPC IPC(8): G06F17/27G06Q30/02
CPCG06F40/289G06F40/30G06Q30/0201G06Q30/0203
Inventor 沈琦程翔
Owner BEIJING UNIV OF TECH
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