Article abstract generation method and system, electronic equipment and readable storage medium
A technology for generating systems and abstracts, applied in the field of information processing, can solve the problems of high cost, long time, and difficult to control the writing quality.
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Embodiment 1
[0145] An item summary generation method, such as figure 1 As shown, the article summary generation method includes:
[0146] Step 10. Recognize the text description picture of the target item to obtain a plurality of text description sentences;
[0147] Step 20, extracting a plurality of description keywords of the target item from the description sentence;
[0148] Step 30, calculate and obtain the TF-IDF value of each description keyword based on the TF-IDF algorithm;
[0149] Step 40, extracting N objective selling point keywords from multiple text description keywords according to the TF-IDF value; N is a natural number;
[0150] Step 50, select matching matching sentences from the description sentences according to the keywords of the objective selling points; it should be noted that the matching sentences here are sentences containing the keywords of the objective selling points;
[0151] Step 60, generating a summary of the target item according to the matching sent...
Embodiment 2
[0168] The method for generating article abstracts in this embodiment is further improved on the basis of Embodiment 1, such as Figure 4 As shown, before step 50, the article summary generation method also includes:
[0169] Step 41. Obtain multiple comment sentences from the comment data of the target item;
[0170] Step 42, extracting a plurality of comment keywords from the comment statement;
[0171] Step 43, calculating the frequency of each comment keyword;
[0172] Step 44, extracting M subjective selling point keywords from multiple review keywords according to frequency; M is a natural number;
[0173] Step 45, generating abstract keywords of the target item; the abstract keywords include the subjective selling point keywords and the objective selling point keywords;
[0174] Further, step 50 specifically includes:
[0175] Step 510, generating candidate sentences; the candidate sentences include the description sentences and the comment sentences;
[0176] Step...
Embodiment 3
[0183] The article summary generation method of this embodiment is further improved on the basis of Embodiment 2, such as Figure 5 As shown, before step 520, step 50 also includes:
[0184] Step 511, normalize the TF-IDF values of all objective selling point keywords;
[0185] Step 512, the normalized TF-IDF value of each objective selling point keyword is used as the first weight of the objective selling point keyword;
[0186] Step 513, normalize the frequency of all subjective selling point keywords;
[0187] Step 514, taking the normalized frequency of each subjective selling point keyword as the second weight of the subjective selling point keyword;
[0188] Step 515, generate the weight of the abstract keyword; if the abstract keyword is an objective selling point keyword, then the weight of the abstract keyword is the first weight; if the abstract keyword is a subjective selling point keyword, then The weight of the abstract keyword is the second weight, if the ab...
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