User comment text mining method and device
A user comment and text mining technology, applied in the field of information processing, can solve the problem of low accuracy, achieve the effect of improving accuracy, improving processing efficiency, and simple and convenient operation
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Embodiment 1
[0050] figure 1 The user comment text mining method in this embodiment is shown. Such as figure 1 As shown, the user comment text mining method includes the following steps:
[0051] S10: Perform data preprocessing on user comments to be analyzed, and obtain a corresponding set of words to be analyzed and a set of parts of speech to be analyzed.
[0052] Wherein, the user comments to be analyzed refer to user comments that have not been subjected to text mining and have not obtained text features. The set of words to be analyzed includes at least one word to be analyzed, and the word to be analyzed may or may not include an emotion word to be analyzed. The part-of-speech set to be analyzed includes a part-of-speech tag corresponding to each word to be analyzed, wherein the part-of-speech tag includes but is not limited to emotional words, adjectives, nouns, and verbs.
[0053] Further, in step S10, the data preprocessing of the user comments to be analyzed includes: perfor...
Embodiment 2
[0092] Corresponding to the user comment text mining method in the above embodiment 1, figure 2 A structural block diagram of a user comment text mining device corresponding to the user comment text mining method provided in Embodiment 1 in this embodiment is shown. The user comment text mining device can realize the details of the user comment text mining method in Embodiment 1 and achieve the same technical effect, so details will not be repeated here. Such as figure 2 As shown, the user comment text mining device includes a preprocessing module 10 , an emotional word judgment module 20 , an emotional word acquisition module 30 , a primary feature extraction module 40 and a deep feature extraction module 50 .
[0093] The preprocessing module 10 is used to perform data preprocessing on user comments to be analyzed, and obtain corresponding word sets to be analyzed and part-of-speech sets to be analyzed;
[0094] Emotional word judging module 20, for judging whether there...
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