ukui-search/libchinese-segmentation/cppjieba/TextRankExtractor.hpp

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#ifndef CPPJIEBA_TEXTRANK_EXTRACTOR_H
#define CPPJIEBA_TEXTRANK_EXTRACTOR_H
#include <cmath>
#include "Jieba.hpp"
namespace cppjieba {
using namespace limonp;
using namespace std;
class TextRankExtractor {
public:
typedef struct _Word {string word;vector<size_t> offsets;double weight;} Word; // struct Word
private:
typedef std::map<string,Word> WordMap;
class WordGraph{
private:
typedef double Score;
typedef string Node;
typedef std::set<Node> NodeSet;
typedef std::map<Node,double> Edges;
typedef std::map<Node,Edges> Graph;
//typedef std::unordered_map<Node,double> Edges;
//typedef std::unordered_map<Node,Edges> Graph;
double d;
Graph graph;
NodeSet nodeSet;
public:
WordGraph(): d(0.85) {};
WordGraph(double in_d): d(in_d) {};
void addEdge(Node start,Node end,double weight){
Edges temp;
Edges::iterator gotEdges;
nodeSet.insert(start);
nodeSet.insert(end);
graph[start][end]+=weight;
graph[end][start]+=weight;
}
void rank(WordMap &ws,size_t rankTime=10){
WordMap outSum;
Score wsdef, min_rank, max_rank;
if( graph.size() == 0)
return;
wsdef = 1.0 / graph.size();
for(Graph::iterator edges=graph.begin();edges!=graph.end();++edges){
// edges->first start节点edge->first end节点edge->second 权重
ws[edges->first].word=edges->first;
ws[edges->first].weight=wsdef;
outSum[edges->first].weight=0;
for(Edges::iterator edge=edges->second.begin();edge!=edges->second.end();++edge){
outSum[edges->first].weight+=edge->second;
}
}
//sort(nodeSet.begin(),nodeSet.end()); 是否需要排序?
for( size_t i=0; i<rankTime; i++ ){
for(NodeSet::iterator node = nodeSet.begin(); node != nodeSet.end(); node++ ){
double s = 0;
for( Edges::iterator edge= graph[*node].begin(); edge != graph[*node].end(); edge++ )
// edge->first end节点edge->second 权重
s += edge->second / outSum[edge->first].weight * ws[edge->first].weight;
ws[*node].weight = (1 - d) + d * s;
}
}
min_rank=max_rank=ws.begin()->second.weight;
for(WordMap::iterator i = ws.begin(); i != ws.end(); i ++){
if( i->second.weight < min_rank ){
min_rank = i->second.weight;
}
if( i->second.weight > max_rank ){
max_rank = i->second.weight;
}
}
for(WordMap::iterator i = ws.begin(); i != ws.end(); i ++){
ws[i->first].weight = (i->second.weight - min_rank / 10.0) / (max_rank - min_rank / 10.0);
}
}
};
public:
TextRankExtractor(const string& dictPath,
const string& hmmFilePath,
const string& stopWordPath,
const string& userDict = "")
: segment_(dictPath, hmmFilePath, userDict) {
LoadStopWordDict(stopWordPath);
}
TextRankExtractor(const DictTrie* dictTrie,
const HMMModel* model,
const string& stopWordPath)
: segment_(dictTrie, model) {
LoadStopWordDict(stopWordPath);
}
TextRankExtractor(const Jieba& jieba, const string& stopWordPath) : segment_(jieba.GetDictTrie(), jieba.GetHMMModel()) {
LoadStopWordDict(stopWordPath);
}
~TextRankExtractor() {
}
void Extract(const string& sentence, vector<string>& keywords, size_t topN) const {
vector<Word> topWords;
Extract(sentence, topWords, topN);
for (size_t i = 0; i < topWords.size(); i++) {
keywords.push_back(topWords[i].word);
}
}
void Extract(const string& sentence, vector<pair<string, double> >& keywords, size_t topN) const {
vector<Word> topWords;
Extract(sentence, topWords, topN);
for (size_t i = 0; i < topWords.size(); i++) {
keywords.push_back(pair<string, double>(topWords[i].word, topWords[i].weight));
}
}
void Extract(const string& sentence, vector<Word>& keywords, size_t topN, size_t span=5,size_t rankTime=10) const {
vector<string> words;
segment_.Cut(sentence, words);
TextRankExtractor::WordGraph graph;
WordMap wordmap;
size_t offset = 0;
for(size_t i=0; i < words.size(); i++){
size_t t = offset;
offset += words[i].size();
if (IsSingleWord(words[i]) || stopWords_.find(words[i]) != stopWords_.end()) {
continue;
}
for(size_t j=i+1,skip=0;j<i+span+skip && j<words.size();j++){
if (IsSingleWord(words[j]) || stopWords_.find(words[j]) != stopWords_.end()) {
skip++;
continue;
}
graph.addEdge(words[i],words[j],1);
}
wordmap[words[i]].offsets.push_back(t);
}
if (offset != sentence.size()) {
XLOG(ERROR) << "words illegal";
return;
}
graph.rank(wordmap,rankTime);
keywords.clear();
keywords.reserve(wordmap.size());
for (WordMap::iterator itr = wordmap.begin(); itr != wordmap.end(); ++itr) {
keywords.push_back(itr->second);
}
topN = min(topN, keywords.size());
partial_sort(keywords.begin(), keywords.begin() + topN, keywords.end(), Compare);
keywords.resize(topN);
}
private:
void LoadStopWordDict(const string& filePath) {
ifstream ifs(filePath.c_str());
XCHECK(ifs.is_open()) << "open " << filePath << " failed";
string line ;
while (getline(ifs, line)) {
stopWords_.insert(line);
}
assert(stopWords_.size());
}
static bool Compare(const Word &x,const Word &y){
return x.weight > y.weight;
}
MixSegment segment_;
unordered_set<string> stopWords_;
}; // class TextRankExtractor
inline ostream& operator << (ostream& os, const TextRankExtractor::Word& word) {
return os << "{\"word\": \"" << word.word << "\", \"offset\": " << word.offsets << ", \"weight\": " << word.weight << "}";
}
} // namespace cppjieba
#endif