https://github.com/valkmjolnir/word-embedding-skip-gram

skip-gram word embedding model by C++
https://github.com/valkmjolnir/word-embedding-skip-gram

machine-learning nlp skip-gram word-embedding

Last synced: about 2 months ago
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skip-gram word embedding model by C++

• Host: GitHub
• URL: https://github.com/valkmjolnir/word-embedding-skip-gram
• Owner: ValKmjolnir
• Created: 2019-12-11T05:51:59.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-10-31T17:04:10.000Z (about 2 months ago)
• Last Synced: 2024-10-31T18:18:04.557Z (about 2 months ago)
• Topics: machine-learning, nlp, skip-gram, word-embedding
• Language: C++
• Size: 97.7 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# word-embedding-skip-gram

skip-gram word embedding model by C++

in header __nlp.h__

```C++

#include "word_lib.h"

#include "bp_network.h"

```

in header __word_lib.h__

```C++

class wordlib

{

	private:

		std::list dictionary;

	public:

		wordlib();

		~wordlib();

		int get_place(std::string);

		int lib_size();

		bool search(std::string);

		void add_word(std::string);

		void add_word_from_file(std::string);

		void print_lib();

		void print_word(int);

		std::string get_word(int);

};

```

this class is used to record all words that exist in training set.

in header __bp_network.h__

```C++

struct neuron;

double tanh(double x);

double difftanh(double x);

double sigmoid(double x);

double diffsigmoid(double x);

class word2vec;

```

word2vec will help you __calculate each word's embedding vector__ and __output information on the screen and into the file__ .

default input file's name is __"trainingset.txt"__ ,you can change it if you like in __word_embedding.cpp__ .

# the most important thing

If you want to change the length of vectors,please go to __bp_network.h__ and find this function: __void word2vec::initializing()__

then change the __HNUM__  at the beginning, this parameter decides the length of vectors.