Segmentation and Classif ication of Online Chats
نویسنده
چکیده
One method for analyzing textual chat transcripts is a process called coding, whereby individual lines of chat, or blocks of chat, are assigned a topical label. This task is typically performed by humans, and takes a great deal of time. Automated analyses can reduce the amount of time it takes to code chat transcripts, and this paper presents the performance of the Naïve Bayes and Viterbi algorithms for classifying chat data.
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