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Chaoxin Visualization Project

This is a Python project based on jieba to split sentences.

File Structure

In folder Named Entity Recognition (NER),

│  README.md
│
├─data
│      AfterPreprocessed.csv
│      AfterSegmentation_space0.1.txt
│      cleaned.csv
│      corpus.txt
│      highlight.csv
│      highlight.csv_bak
│      highlight.csv_bak2
│      stopwords.txt
│      Tag.csv
│
├─LINE
│      concatenate.cpp
│      distance.cpp
│      line.cpp
│      normalize.cpp
│      reconstruct.cpp
│      train.sh
│
├─src
│      LDA.py
│      NER.py
│      jieba_example.py
│      topic_model.ipynb
│      track_network.py
│
└─tf_model
        model-00010.param
        model-00010.tag
        model-00010.twords
        model-00010.wordmap
        model-00010.zvalue
  • data folder: contains all the dataset
  • LINE folder: the implementation of LINE Algorithm
  • src folder: source code for LDA Algorithm (LDA.py), topic model in tensorflow (topic_model.ipynb), main function (track_network.py & NER.py) and an example file to use jieba library (jieba_example.py)
  • tf_model folder: TensorFlow models.

How to use

  • Check the topic model visualization with topic_model.ipynb, you can open it with jupyter notebook.
  • NER.py contains some main functions for preprocessing the dataset, segmentation, cleaning and tag.

Acknowledgement

Topic Model

如何用 Python 从海量文本抽取主题？