cppjieba/include/cppjieba/KeywordExtractor.hpp

149 lines
3.9 KiB
C++

#ifndef CPPJIEBA_KEYWORD_EXTRACTOR_H
#define CPPJIEBA_KEYWORD_EXTRACTOR_H
#include <cmath>
#include <set>
#include "Jieba.hpp"
namespace cppjieba {
using namespace limonp;
/*utf8*/
class KeywordExtractor {
public:
KeywordExtractor(const string& dictPath,
const string& hmmFilePath,
const string& idfPath,
const string& stopWordPath,
const string& userDict = "")
: segment_(dictPath, hmmFilePath, userDict) {
LoadIdfDict(idfPath);
LoadStopWordDict(stopWordPath);
}
KeywordExtractor(const DictTrie* dictTrie,
const HMMModel* model,
const string& idfPath,
const string& stopWordPath)
: segment_(dictTrie, model) {
LoadIdfDict(idfPath);
LoadStopWordDict(stopWordPath);
}
KeywordExtractor(const Jieba& jieba,
const string& idfPath,
const string& stopWordPath)
: segment_(jieba.GetDictTrie(), jieba.GetHMMModel()) {
LoadIdfDict(idfPath);
LoadStopWordDict(stopWordPath);
}
~KeywordExtractor() {
}
bool Extract(const string& sentence, vector<string>& keywords, size_t topN) const {
vector<pair<string, double> > topWords;
if (!Extract(sentence, topWords, topN)) {
return false;
}
for (size_t i = 0; i < topWords.size(); i++) {
keywords.push_back(topWords[i].first);
}
return true;
}
bool Extract(const string& sentence, vector<pair<string, double> >& keywords, size_t topN) const {
vector<string> words;
segment_.Cut(sentence, words);
map<string, double> wordmap;
for (vector<string>::iterator iter = words.begin(); iter != words.end(); iter++) {
if (IsSingleWord(*iter)) {
continue;
}
wordmap[*iter] += 1.0;
}
for (map<string, double>::iterator itr = wordmap.begin(); itr != wordmap.end(); ) {
if (stopWords_.end() != stopWords_.find(itr->first)) {
wordmap.erase(itr++);
continue;
}
unordered_map<string, double>::const_iterator cit = idfMap_.find(itr->first);
if (cit != idfMap_.end()) {
itr->second *= cit->second;
} else {
itr->second *= idfAverage_;
}
itr ++;
}
keywords.clear();
std::copy(wordmap.begin(), wordmap.end(), std::inserter(keywords, keywords.begin()));
topN = min(topN, keywords.size());
partial_sort(keywords.begin(), keywords.begin() + topN, keywords.end(), Compare);
keywords.resize(topN);
return true;
}
private:
void LoadIdfDict(const string& idfPath) {
ifstream ifs(idfPath.c_str());
XCHECK(ifs.is_open()) << "open " << idfPath << " failed";
string line ;
vector<string> buf;
double idf = 0.0;
double idfSum = 0.0;
size_t lineno = 0;
for (; getline(ifs, line); lineno++) {
buf.clear();
if (line.empty()) {
XLOG(ERROR) << "lineno: " << lineno << " empty. skipped.";
continue;
}
Split(line, buf, " ");
if (buf.size() != 2) {
XLOG(ERROR) << "line: " << line << ", lineno: " << lineno << " empty. skipped.";
continue;
}
idf = atof(buf[1].c_str());
idfMap_[buf[0]] = idf;
idfSum += idf;
}
assert(lineno);
idfAverage_ = idfSum / lineno;
assert(idfAverage_ > 0.0);
}
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());
}
bool IsSingleWord(const string& str) const {
Unicode unicode;
TransCode::Decode(str, unicode);
if (unicode.size() == 1)
return true;
return false;
}
static bool Compare(const pair<string, double>& lhs, const pair<string, double>& rhs) {
return lhs.second > rhs.second;
}
MixSegment segment_;
unordered_map<string, double> idfMap_;
double idfAverage_;
unordered_set<string> stopWords_;
}; // class Jieba
} // namespace cppjieba
#endif