Public praise information evaluation method based on data analysis
By applying crawler and NLP technology methods in online forums, word-of-mouth information is extracted and evaluated, the problem of word-of-mouth information processing is solved, and efficient and accurate word-of-mouth information evaluation is achieved.
CN119691188AActive Publication Date: 2025-03-25NANJING UNIV
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Patent Information
- Application Number
- CN202411765888.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-04
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2044-12-04
AI Technical Summary
Technical Problem
The number of word-of-mouth information in online forums is huge, heterogeneous, noise and dynamic, and it is difficult to manually process and analyze.
Method used
The word-of-mouth information evaluation method based on data analysis is adopted, the forum content is obtained through crawling technology, adjectives and degree adverbs are extracted using NLP technology, and the positive degree of word-of-mouth evaluation is judged based on emotional assignment and scoring methods.
Benefits of technology
It realizes efficient evaluation and analysis of massive, heterogeneous, noise and dynamic word-of-mouth information, improves the accuracy and reliability of word-of-mouth information, and alleviates the problems of data scarcity and labeling quality.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention discloses a public praise information evaluation method based on data analysis, and relates to the technical field of information evaluation. Content generated in a forum is acquired through a crawler technology; putting the original sentences into a filter, and obtaining official public praise aspects after screening of the filter; extracting adjective words, degree adverbs and negative words in an original sentence through an NLP technology, and evaluating the adjective words, the degree adverbs and the negative words; combining the emotion assignment of the degree adverb and the adjective to obtain a word-of-mouth evaluation positive degree score, and judging the word-of-mouth evaluation positive degree according to a scoring result; outputting the obtained public praise polarity and public praise evaluation positive degree; according to the method, the whole word-of-mouth mining task is divided into a plurality of sub-tasks to be split and simplified, the problems of data scarcity and marking quality are relieved to a great extent, and by calculating the word-of-mouth positive degree score, the positive degree of word-of-mouth evaluation can be judged while high accuracy is kept when more word-of-mouth information is extracted.
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