<![CDATA[The research problems in this research are 1) how lexicogrammar takes role in determining polarity of F-Word1 and 2) how to formalize it for corpus processing. The data is obtained from the Contemporary American English Corpus (COCA). In this corpus, F-word is proven to be highest in frequency as compared to its distribution across corpora. Corpus methodology is applied by sending queries to retrieve F-Words to COCA interface. Tokens combination surrounding F-words resulted in the phrase and clause unit accompanying F-words, which are significant cues to determine F-word polarity. The polarity is later proven to be not necessarily negative. I also designed a computational resource to allow the retrieval of F-words offline so that users might apply it to any digital text collections.]]>
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