White Paper:
Language Technology

Preview:

When most people first try to find harassing email messages within a large body of messages they usually start by searching for dirty words and phrases. They quickly realize that additional types of words and phrases, such as ethnic slurs, need to be added. But, eventually, four problems emerge:

• They cannot think of all of the possible words and phrase combinations.

• They realize that some offensive words also have non-offensive meanings. The result is that the search yields many messages that are not actually harassment.

• They discover that as the list gets longer, the processing time to compare each message to the list gets longer.

• They discover that some messages that do not have offensive words could be used as evidence of a hostile work environment.

InBoxer approaches the problem differently using an advanced, proprietary technique to find potentially harassing email. The methods are primarily based on statistical language models. InBoxer assembled tens of thousands of emails from many companies and categorized them…

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