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Word2vec use gensim corpus and easy create training modul

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Word2Vec

Word2vec use gensim corpus and easy create training modul.

Getting Started

  1. Use or create data set ( you can use data set from project )
  2. run source code ClearDataGensim for clear html tag
  3. run source PreprocessingData with data result from script ClearDataGensim (this for clear stop word )
  4. run source sentiment analysis with data result from script PreprocessingData ( this for create base file sentiment postive and negative )
  5. run source TrainingModelPositif (use Positive.txt) and run source TrainingModelNegative ( use Negative.txt ) for get model postive dan negative
  6. run source CekSmiliarity for cek word from word smiliarity
  7. run source word2vecvisualization to get visualization vector

Prerequisites

use python version 3 to up.

Installing

install gensim install nltk install numpy etc

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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Word2vec use gensim corpus and easy create training modul

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