SYSTEMS AND METHODS FOR IDENTIFYING UNWANTED OR HARMFUL ELECTRONIC TEXT
First Claim
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1. A method for identifying unwanted or harmful electronic text comprising:
- analyzing electronic text using an inexact string matching algorithm to identify unwanted or harmful text, if present in said electronic text, wherein said inexact string matching algorithm utilizes a database generated by machine learning method.
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Abstract
The present invention relates to systems and methods for identifying and removing unwanted or harmful electronic text (e.g., spam). In particular, the present invention provides systems and methods utilizing inexact string matching methods and machine learning and non-learning methods for identifying and removing unwanted or harmful electronic text.
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46 Claims
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1. A method for identifying unwanted or harmful electronic text comprising:
- analyzing electronic text using an inexact string matching algorithm to identify unwanted or harmful text, if present in said electronic text, wherein said inexact string matching algorithm utilizes a database generated by machine learning method.
- View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46)
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