Patent ID: 8892584
Filing Date: 2014-11-18
Classification: G06F

Abstract:
1. A computer-implemented method to identify new words from a meta tag, comprising: storing, by a processor, a plurality of language-specific dictionaries in a database; identifying, by the processor, a website that uses a non-Latin-based language; analyzing, by the processor, a Hyper-Text Markup Language (HTML) page of the website to identify a meta tag associated with the HTML page; identifying, by the processor, non-Latin-based content in the meta tag of the HTML page; identifying, by the processor, a language of the non-Latin-based content; selecting, by the processor, a dictionary from the plurality of language-specific dictionaries, based on the identified language of non-Latin-based content; identifying, by the processor, whether a space exists in the non-Latin-based content, if a space exists in the non-Latin-based content in the meta tag, dividing the non-Latin-based content into a plurality of portions using the identified space, and if the space does not exist in the non-Latin-based content, identify at least one punctuation mark included in the non-Latin-based content, and dividing the non-Latin-based content into a plurality of portions using the identified at least one punctuation mark; filtering the plurality of portions according to a predetermined criteria to obtain filtered portions, wherein each filtered portion comprises a word; wherein for each filtered portion: comparing, by the processor, the word to content stored in the selected dictionary to determine whether the word exist in the selected dictionary; upon determining that the word does not exist in the selected dictionary, adding, by the processor, the word to the selected dictionary, and identifying another filtered portion to compare with the selected dictionary until every filtered portion is compared with the selected database; and upon determining that the word does exist in the selected dictionary, identifying another filtered portion to compare with the selected dictionary until every filtered portion is compared with the selected database.