*python >= 3.6 (some dependencies may not work properly with newer versions, at the time I made this project, underthesea module is not loaded with the latest python version 3.8.3)
*Tesseract client (see: https://github.com/tesseract-ocr/tesseract)
*pytesseract:

pip install facebook-scraper

underthesea: (see https://github.com/undertheseanlp/underthesea)

wordcloud:

pip install wordcloud

|-- .gitignore
|-- sample
    |-- _processed.json
    |-- chinh_tri_xa_hoi.csv
    |-- processed.json
    |-- stat-full.csv
    |-- stat.csv
|-- count_reactions_by_page.py
|-- csv.py
|-- datahandling.py
|-- facebook_scraper.py
|-- mask.png
|-- nlp_processing.py
|-- README.rst
|-- scraping.py
|-- vietnamese-stopwords.txt
|-- wordcloud.py
|-- wordtokens_stat.py

The facebook_scraper.py in this project is a modified version of Kevinzg facecbook-scraper (see at: https://github.com/kevinzg/facebook-scraper) You can either move this file to your current python's site_packages folder or install the original module and replace the content of this main module file by this one.

If there is any better workaround, go for it cuz I'm not a pythonworm :(((

For other modules, install all the packages listed in the Requirements section above. You better go to the link I provided to get them all installed correctly.

Usage

• Open scaping.py and change the final line of code

...     extract_page_public_posts('<page name>', <quantity>)

Usage

• Open datahandling.py and change the code in main method

...     try:
...     pool = []
        #Replace your data from scaping.py in the below code
        pool = pool + load_data('./dummies1.json', 'DM')
        pool = pool + load_data('./dummies2.json', 'DN')
        pool = pool + load_data(<path to fanpage data from scraping.py>, <tag name for fanpage data>)

Usage

• Run nlp_processing.py
• You don't need to modify any line of code provided that you did't change the output file location or name in step 3.

Usage

• Run export_to_csv.py
• You don't need to modify any line of code provided that you did't change the output file location or name in step 4.
• With the result of this file, you can use any sort of visualization applications or services having csv supported file to analyze your data.

Usage

• Open wordtokens_stat.py and change the final line of code
• Default data file location is: processed.json
• To get topic names: open processed.json and copy the topic name wrapped inside ""

...   word_tokens_stat(<path to received file from step 4>, '<topic name>')

Usage

• Open wordcloud.py and change the final line of code
• Default data file location is: processed.json
• To get topic names: open processed.json and copy the topic name wrapped inside ""

...   word_cloud(<path to received file from step 4>, '<topic name>')