In　the　present　work,　two　algorithms　of　support　vector　classification　(SVC)　were　utilized　to　analyze　and　classify　Raman　spectra　of　nasopharyngeal　cell　lines　C666-1,　CNE2　and　nasopharyngeal　normal　cell　line　NP69,　and　achieved　great　sensitivity　and　specificity　which　are　all　up　to　90%.　This　is　coincident　with　our　previous　LDA　classification　model.　The　final　results　show　that　both　of　these　two　SVC　algorithms　can　well　classify　the　cell　lines,　and　meanwhile　may　be　helpful　to　the　realization　of　Raman　spectroscopy　to　be　one　of　diagnostic　techniques　of　nasopharyngeal　carcinoma.