diff --git a/src/engine/tag_extractor.rs b/src/engine/tag_extractor.rs
index 0c601f0..18b376a 100644
--- a/src/engine/tag_extractor.rs
+++ b/src/engine/tag_extractor.rs
@@ -176,7 +176,7 @@ fn extract_tags_with_jieba(
         if seen.contains(&word_lower) { continue; }
 
         // 按词性过滤：只保留名词相关，但排除人名(nr)
-        let pos = tag.tag.as_str();
+        let pos = tag.tag;
         let category = match pos {
             // 名词类（排除人名）
             "n" | "ng" => "noun",        // 普通名词
diff --git a/src/engine/title_parser.rs b/src/engine/title_parser.rs
index 781ed73..00b107f 100644
--- a/src/engine/title_parser.rs
+++ b/src/engine/title_parser.rs
@@ -225,7 +225,7 @@ fn extract_person_with_jieba(title: &str) -> Option<String> {
         let word = tag.word.trim();
         if word.len() < 2 { continue; }
 
-        let priority = match tag.tag.as_str() {
+        let priority = match tag.tag {
             "nr" => 0,    // 人名（最高优先级）
             "nrfg" => 1,  // 古体人名
             "nrt" => 2,   // 音译人名
@@ -482,14 +482,14 @@ pub fn extract_person_and_tags(title: &str) -> (Option<String>, Vec<(String, Str
 }
 
 /// 从 jieba 分词结果中提取人名
-fn extract_person_from_tags(tags: &[jieba_rs::Token]) -> Option<String> {
+fn extract_person_from_tags(tags: &[jieba_rs::Tag]) -> Option<String> {
     let mut candidates: Vec<(String, usize)> = Vec::new();
 
     for tag in tags {
         let word = tag.word.trim();
         if word.len() < 2 { continue; }
 
-        let priority = match tag.tag.as_str() {
+        let priority = match tag.tag {
             "nr" => 0,    // 人名（最高优先级）
             "nrfg" => 1,  // 古体人名
             "nrt" => 2,   // 音译人名
@@ -509,7 +509,7 @@ fn extract_person_from_tags(tags: &[jieba_rs::Token]) -> Option<String> {
 
 /// 从 jieba 分词结果中提取标签（排除人名）
 fn extract_tags_from_jieba_result(
-    tags: &[jieba_rs::Token],
+    tags: &[jieba_rs::Tag],
     person_name: Option<&str>,
 ) -> Vec<(String, String)> {
     use std::collections::HashSet;
@@ -553,7 +553,7 @@ fn extract_tags_from_jieba_result(
         if !seen.insert(word_lower.clone()) { continue; }
 
         // 按词性分类
-        let pos = tag.tag.as_str();
+        let pos = tag.tag;
         let category = match pos {
             "n" | "ng" => "noun",
             "nz" => "proper",