Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most existing research on authorship attribution uses various types of lexical, syntactic, and structural features for classification. Some of these features are not meaningful for small texts such as email messages.   demonstrate a very effective use of a syntactic feature of an author's writing - text's parse tree characteristics - for authorship analysis of email messages.  define author templates consisting of context free grammar CFG production frequencies occurring in an author's training set of email messages.  then use similar frequencies extracted from a new email message to match against various authors' templates to identify the best match.  evaluate our approach on Enron email dataset and show that CFG production frequencies work very ll and are robust in attributing the authorship of email messages.
['Jagadeesh Patchala', 'Raj Bhatnagar', 'Sridharan Gopalakrishnan']
I am writing a research paper on a idea Author Attribution of Email Messages Using Parse-Tree Features
[{"from": "human", "value": "I am writing a research paper on a idea Author Attribution of Email Messages Using Parse-Tree Features"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Most existing research on authorship attribution uses various types of lexical, syntactic, and structural features for classification. Some of these features are not meaningful for small texts such as email messages.   demonstrate a very effective use of a syntactic feature of an author's writing - text's parse tree characteristics - for authorship analysis of email messages.  define author templates consisting of context free grammar CFG production frequencies occurring in an author's training set of email messages.  then use similar frequencies extracted from a new email message to match against various authors' templates to identify the best match.  evaluate our approach on Enron email dataset and show that CFG production frequencies work very ll and are robust in attributing the authorship of email messages."}]