A Visualization Method of Graph and Text Collection
A collection, graphic and text technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of visual layout without considering the extraction of feature pictures, lack of visual aesthetics, etc.
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Embodiment 1
[0021] see figure 1 , this embodiment provides a visualization method for a graph-text collection, and the process is as follows:
[0022] 101: Preprocessing the image-text collection;
[0023] 102: Visualize a collection of images and texts.
[0024] The method provided in this embodiment achieves the beneficial effect of enabling users to intuitively and quickly understand the content of the graphic collection by extracting the characteristic words and characteristic pictures of the graphic collection and displaying the result in a graphical manner.
Embodiment 2
[0026] see figure 2 , this implementation provides a visualization device for a collection of pictures and texts, the device includes:
[0027] A preprocessing module 201, configured to preprocess the graphic and text collection to be visualized;
[0028] The visualization module 202 is used to visualize the collection of pictures and texts.
[0029] Specifically, in the above-mentioned preprocessing module 201, the text collection is divided into words, and the text feature words are obtained after removing the stop words, and the weight of the words is calculated; wherein, the stop words refer to such as "of", "and" and "in " and other prepositions, modal particles and very commonly used words. The repeated pictures in the picture collection are discarded, and the weights of the remaining pictures are calculated.
[0030] In the visualization module 202, the visual characteristics of graphical display are described as follows:
[0031] 1. The overall distribution is ell...
Embodiment 3
[0036] see image 3 , this implementation provides a visualization device for a collection of pictures and texts, the device includes:
[0037] The preprocessing module 301 is used to preprocess the raw data to be visualized, and obtain the characteristic words and the weights of the characteristic words, the characteristic pictures and the weights of the characteristic pictures of the graph-text set;
[0038] The visualization module 302 is configured to use the result of the preprocessing module 301 to visualize the image-text collection.
[0039] Further, the preprocessing module 301 includes:
[0040] The word segmentation unit 301a is used to segment the text collection and remove stop words to obtain independent feature phrases;
[0041] The term weight calculation unit 301b is used to calculate the weight of the feature words of the text set;
[0042] The picture extraction unit 301c is used to extract different pictures in the picture collection;
[0043] The pictu...
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