A method for summarizing user reviews based on review usefulness
A technology of user comments and usefulness, which is applied in the field of user comment summary based on the usefulness of comments, can solve the problems of text noise, short user comments, time-consuming, etc., and achieve the effect of saving time
Active Publication Date: 2022-07-19
HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
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Problems solved by technology
However, for popular applications, user comments are increasing by tens of thousands, and it is time-consuming to mark whether these comments are informative, so there is an urgent need for automatic summary of comments
The current challenge of review summarization is mainly that user reviews are short and contain a lot of text noise. Only about 30% of the reviews are informative, and the reviews contain many topics, which are difficult to be predefined.
[0004] Previous work has ignored some important comment features, such as the number of support for a comment by other users.
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Embodiment Construction
[0067] like figure 1As shown, the present invention discloses a method for summarizing user comments based on comment usefulness. The method mainly includes three modules: a comment usefulness prediction module, a topic-sentiment summary module and a multi-element sorting module. The comment usefulness prediction module is used to evaluate whether a comment is useful to developers. The topic-sentiment summary module classifies useful comments by topic and predicts the associated sentiment at the same time. The multi-element sorting module sorts the comments under each topic according to their semantic representation. .
[0068] The concrete steps of the present invention are as follows:
[0069] 1. Preprocessing
[0070] Lemmatization is performed on the comment text, repeated words are removed, and English letters are converted to lowercase.
[0071] 2. Review usefulness prediction
[0072] Extract 20 categories of features that may affect the usefulness of reviews, as sh...
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The present invention provides a method for automatic user comment summarization based on comment usefulness, including the following steps: Step 1: preprocessing; morphological restoration of the comment text; Step 2: comment usefulness prediction; Features of review usefulness, use the extracted features to characterize reviews, and use random forest classification model to predict the usefulness of reviews; Step 3: Sentiment-topic modeling based on binary words; adding to the traditional binary word topic model Sentiment variable, modeling both topic and sentiment for comments; Step 4: Multi-factor topic and comment ranking. The beneficial effects of the present invention are: 1. The method of the present invention can effectively utilize some neglected important review features to assist in the prediction of the usefulness of reviews and the subsequent sorting and summarization tasks; 2. The sorting of topics in the method of the present invention can save developers time.
Description
technical field [0001] The present invention relates to the field of Internet technology, in particular to a method for summarizing user comments based on comment usefulness. Background technique [0002] The quality of the application directly affects the user experience and is related to the developer's profitability. As more and more apps emerge, app developers face the challenge of how to stand out from the competition. User reviews are feedback from users after using the app. These comments are of great value to the application version update plan, such as fixing major bugs, adding important features, etc. [0003] User review mining has been widely studied in both academia and industry, mainly focusing on user review ranking, review classification, predicting user likes / dislikes, and identifying application emergent problems. Most of these domains rely on predefined categories and large-scale human annotations. However, for popular applications, user reviews are in...
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IPC IPC(8): G06F40/169G06K9/62
CPCG06F40/169G06F18/24323
Inventor 高翠芸臧婧雅王轩廖清罗文坚刘川意
Owner HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)