Method, apparatus, and computer storage medium for automatically adding tags to document

A method for automatically adding a tag to a document, comprising:ndetermining, by an apparatus comprising a processor, a plurality of candidate tag words corresponding to the document;determining, by the apparatus, a corpus comprising a plurality of texts;selecting, by the apparatus, commonly-used words from the corpus as characteristic words;determining, by the apparatus, for each of the characteristic words and each of the candidate tag words, a probability for co-occurrence of the candidate tag word with the characteristic word;abstracting, by the apparatus, characteristic words from the document;calculating, by the apparatus, a weight for each of the abstracted characteristic words;calculating, by the apparatus, in the corpus, a weighted probability for co-occurrence of each of the candidate tag words with all of the characteristic words abstracted from the document; andselecting, by the apparatus, the candidate tag word with a high weighted co-occurrence probability as a tag word to be added to the document;wherein the weight for the characteristic word Y abstracted from the document is denoted as Wy, and WY is equal to a product of the number of times that Y occurs in the document and the number of the texts in the corpus in which Y occurs.

An apparatus for automatically adding a tag to a document, comprising:na candidate tag word determining module comprising a processor, configured to determine a plurality of candidate tag words corresponding to the document;a co-occurrence probability determining module comprising a processor, configured to determine a corpus comprising a plurality of texts, select commonly-used words from the corpus as characteristic words, and determine, for each of the characteristic words and each of the candidate tag words, a probability for co-occurrence of the candidate tag word with the characteristic word;a weight calculating module comprising a processor, configured to abstract characteristic words from the document, and calculate a weight for each of the abstracted characteristic words;a weighted co-occurrence probability calculating module comprising a processor, configured to calculate, in the corpus, a weighted probability for co-occurrence of each of the candidate tag words with all of the characteristic words abstracted from the document; anda tag word adding module comprising a processor, configured to select the candidate tag word with a high weighted co-occurrence probability as a tag word to be added to the document;wherein the weight for the characteristic word Y abstracted from the document is denoted as Wy, and the weight calculating module is configured to calculate Wy as being equal to a product of the number of times that Y occurs in the document and the number of the texts in the corpus in which Y occurs.

A computer storage medium storing computer program codes for implementing a method for automatically adding a tag to a document, executable by a computer, wherein the computer program codes comprise:ninstructions for determining a plurality of candidate tag words corresponding to the document;instructions for determining a corpus comprising a plurality of texts;instructions for selecting commonly-used words from the corpus as characteristic words;instructions for determining, for each of the characteristic words and each of the candidate tag words, a probability for co-occurrence of the candidate tag word with the characteristic word; instructions for abstracting characteristic words from the document;instructions for calculating a weight for each of the abstracted characteristic words;instructions for calculating, in the corpus, a weighted probability for co-occurrence of each of the candidate tag words with all of the characteristic words abstracted from the document; andinstructions for selecting the candidate tag word with a high weighted co-occurrence probability as a tag word to be added to the document;wherein the weight for the characteristic word Y abstracted from the document is denoted as Wy, and a weight calculating module is configured to calculate Wy as being equal to a product of the number of times that Y occurs in the document and the number of the texts in the corpus in which Y occurs.