added simple implemention of textrank, corresponding to jieba commit #4030d8ed86dd3ff54e215ebe88c141b2a8345eda

analyse/analyse.go

@@ -1,7 +1,7 @@
 package analyse
 
 import (
-	//	"fmt"
+	"fmt"
 	"github.com/wangbin/jiebago"
 	"sort"
 	"strings"
@@ -13,9 +13,9 @@ type TfIdf struct {
 	Freq float64
 }
 
-//func (t TfIdf) String() string {
+func (t TfIdf) String() string {
-//	return fmt.Sprintf("{%s: %f}", t.Word, t.Freq)
+	return fmt.Sprintf("{%s: %f}", t.Word, t.Freq)
-//}
+}
 
 type TfIdfs []TfIdf
 

analyse/textrank.go

@@ -0,0 +1,126 @@
+package analyse
+
+import (
+	mapset "github.com/deckarep/golang-set"
+	"github.com/wangbin/jiebago/posseg"
+	"math"
+	"sort"
+)
+
+const (
+	DampingFactor = 0.85
+)
+
+var (
+	defaultAllowPOS = []string{"ns", "n", "vn", "v"}
+)
+
+type edge struct {
+	start  string
+	end    string
+	weight float64
+}
+
+type undirectWeightedGraph struct {
+	graph map[string][]edge
+}
+
+func (u *undirectWeightedGraph) addEdge(start, end string, weight float64) {
+	if _, ok := u.graph[start]; !ok {
+		u.graph[start] = []edge{edge{start: start, end: end, weight: weight}}
+	} else {
+		u.graph[start] = append(u.graph[start], edge{start: start, end: end, weight: weight})
+	}
+
+	if _, ok := u.graph[end]; !ok {
+		u.graph[start] = []edge{edge{start: end, end: start, weight: weight}}
+	} else {
+		u.graph[start] = append(u.graph[start], edge{start: end, end: start, weight: weight})
+	}
+
+}
+
+func (u *undirectWeightedGraph) rank() TfIdfs {
+	ws := make(map[string]float64)
+	outSum := make(map[string]float64)
+
+	wsdef := 1.0
+	if len(u.graph) > 0 {
+		wsdef /= float64(len(u.graph))
+	}
+
+	for n, out := range u.graph {
+		ws[n] = wsdef
+		sum := 0.0
+		for _, e := range out {
+			sum += e.weight
+		}
+		outSum[n] = sum
+	}
+
+	for x := 0; x < 10; x++ {
+		for n, inedges := range u.graph {
+			s := 0.0
+			for _, e := range inedges {
+				s += e.weight / outSum[e.end] * ws[e.start]
+			}
+			ws[n] = (1 - DampingFactor) + DampingFactor*s
+		}
+	}
+
+	minRank := math.MaxFloat64
+	maxRank := math.SmallestNonzeroFloat64
+	for _, w := range ws {
+		if w < minRank {
+			minRank = w
+		} else if w > maxRank {
+			maxRank = w
+		}
+	}
+	result := make(TfIdfs, 0)
+	for n, w := range ws {
+		result = append(result, TfIdf{Word: n, Freq: (w - minRank/10.0) / (maxRank - minRank/10.0)})
+	}
+	sort.Sort(sort.Reverse(result))
+	return result
+}
+
+func TextRankWithPOS(sentence string, topK int, allowPOS []string) TfIdfs {
+	posFilt := mapset.NewSet()
+	for _, pos := range allowPOS {
+		posFilt.Add(pos)
+	}
+	g := new(undirectWeightedGraph)
+	cm := make(map[[2]string]float64)
+	span := 5
+	wordTags := posseg.Cut(sentence, true)
+	for i := range wordTags {
+		if posFilt.Contains(wordTags[i].Tag) {
+			for j := i + 1; j < i+span; i++ {
+				if j > len(wordTags) {
+					break
+				}
+				if !posFilt.Contains(wordTags[j].Tag) {
+					continue
+				}
+				if _, ok := cm[[2]string{wordTags[i].Word, wordTags[j].Word}]; !ok {
+					cm[[2]string{wordTags[i].Word, wordTags[j].Word}] = 1.0
+				} else {
+					cm[[2]string{wordTags[i].Word, wordTags[j].Word}] += 1.0
+				}
+			}
+		}
+	}
+	for startEnd, weight := range cm {
+		g.addEdge(startEnd[0], startEnd[1], weight)
+	}
+	tags := g.rank()
+	if topK > 0 && len(tags) > topK {
+		tags = tags[:topK]
+	}
+	return tags
+}
+
+func TextRank(sentence string, topK int) TfIdfs {
+	return TextRankWithPOS(sentence, topK, defaultAllowPOS)
+}

analyse/textrank_test.go

@@ -0,0 +1,36 @@
+package analyse
+
+import (
+	"github.com/wangbin/jiebago"
+	"math"
+	"testing"
+)
+
+var (
+	sentence = "此外，公司拟对全资子公司吉林欧亚置业有限公司增资4.3亿元，增资后，吉林欧亚置业注册资本由7000万元增加到5亿元。吉林欧亚置业主要经营范围为房地产开发及百货零售等业务。目前在建吉林欧亚城市商业综合体项目。2013年，实现营业收入0万元，实现净利润-139.13万元。"
+
+	tagRanks = TfIdfs{
+		TfIdf{Word: "吉林", Freq: 1.000000},
+		TfIdf{Word: "欧亚", Freq: 0.864834},
+		TfIdf{Word: "置业", Freq: 0.553466},
+		TfIdf{Word: "实现", Freq: 0.520661},
+		TfIdf{Word: "收入", Freq: 0.379700},
+		TfIdf{Word: "增资", Freq: 0.355086},
+		TfIdf{Word: "子公司", Freq: 0.349758},
+		TfIdf{Word: "全资", Freq: 0.308537},
+		TfIdf{Word: "城市", Freq: 0.306104},
+		TfIdf{Word: "商业", Freq: 0.304837},
+	}
+)
+
+func TesTextRank(t *testing.T) {
+	jiebago.SetDictionary("../dict.txt")
+	SetIdf("idf.txt")
+
+	results := TextRank(sentence, 10)
+	for index, tw := range results {
+		if tw.Word != tagRanks[index].Word || math.Abs(tw.Freq-tagRanks[index].Freq) > 1e-6 {
+			t.Errorf("%v != %v", tw, tagRanks[index])
+		}
+	}
+}