Web text public emotion mining method and system based on supervised learning
The invention discloses a web text public emotion mining method and system based on supervised learning, and the method comprises the steps: building a coding framework of web text multi-dimensional public emotions according to broadcast study literatures, expert opinions and experiences; coding tra...
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| creator | ZHOU MINGJIE MU WEIQI ZHOU YIXIN WANG YIHUAN |
| description | The invention discloses a web text public emotion mining method and system based on supervised learning, and the method comprises the steps: building a coding framework of web text multi-dimensional public emotions according to broadcast study literatures, expert opinions and experiences; coding training is carried out on each bit of coding person, so that each bit of coding person is consistent; the web text is captured, and each coder performs scoring processing according to the given coding framework; extracting text features for expressing topics and contents in the web text by adopting an LIWC dictionary, and constructing a text data set; a supervised machine learning method is adopted, network text scoring and a text data set are combined for training, and a text analysis model is obtained through matrix parameter adjustment and cross validation methods; and obtaining evaluation subject attributes and multi-dimensional public emotion scores in the new web text by using the text analysis model. According |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Web text public emotion mining method and system based on supervised learning |
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