N-gram classification in social media messages
AssigneeColossio, Inc.
InventorJoseph A. Jaroch
Life of this patent
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Abstract
Systems and a method for n-gram classification of social media content are provided. In one or more aspects, a system includes a network interface to receive the social media content from a social media network. The social media content includes a string of characters. A processor can process the string of characters by parsing the string of characters and resolving encodings by removing markup characters from the string of characters. The processor further extracts non-text sub strings from the string of characters, and tokenizes the string of characters into separate words.
Claims20
A system for n-gram classification of social media content, the system comprising:
- a network interface configured to receive the social media content from a social media network, the social media content including a string of characters;
- and
- a processor configured to process the string of characters by:
- resolving encodings by removing markup characters from the string of characters;
- extracting non-text substrings from the string of characters;
- and
- tokenizing the string of characters into separate words.
A system comprising:
- memory;
- and
- a processor coupled to the memory and configured to receive social media content including a string of characters from a social media network,
- wherein the processor is further configured to process the string of characters in a single pass by:
- removing encodings from the string of characters;
- and
- extracting non-text substrings including uniform resource locators (URLs) from the string of characters.
A method of n-gram classification of social media content, comprising:
- receiving, via a network interface, the social media content including a first string of characters from a social media network;
- and
- processing, by a processor, the first string of characters in a single pass to generate a second string of characters and a metadata,
- wherein the processing comprises:
- resolving encodings by removing markup characters from the first string of characters;
- extracting non-text substrings from the first string of characters;
- and
- tokenizing the first string of characters into separate words forming the second string of characters.
Dependencies are inferred from the claim text.