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With only token unigrams, the recognition accuracy was 80.5%, while using all features together increased this only slightly to 80.6%. (2014) examined about 9 million tweets by 14,000 Twitter users tweeting in American English.

They used lexical features, and present a very good breakdown of various word types.

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These statistics are derived from the users profile information by way of some heuristics.In this paper we restrict ourselves to gender recognition, and it is also this aspect we will discuss further in this section.

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