Multifile document analysis application. Python application that works on a variety of file types: (.txt, .doc, .docx, .pdf, .jpg, .png and .csv). There is an OCR component that extracts the text from clear images and loads them for processing.
Created on Tue Dec 13 01:25:12 2017
Last Update on March 30 11:29:03 2020
@author: Michael Stattelman
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Complete multi-file document analysis:
1) Fuzzy String compare for file similarity
2) File Summarization
3) Word frequency counter
4) Phrase frequency counter
5) File Sentiment Analyzer
6) Name Entity Extraction
7) Sentence Frequency counter
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#Instructions:
##---------------------------------------------------
Prior to running ensure all .txt files are UTF-8 encoded
## Run these prior to running DocNovus:
##-------------------------------------------------------------------------
curl -O https://repo.anaconda.com/archive/Anaconda3-2019.03-Linux-x86_64.sh
sha256sum Anaconda3-2019.03-Linux-x86_64.sh
bash Anaconda3-2019.03-Linux-x86_64.sh
sudo apt install -y python3-pip
conda update --all
source ~/.bashrc
conda update --all
conda install -c anaconda ipython
conda install -c anaconda jupyter
conda install -c anaconda pandas
conda install -c anaconda seaborn
conda install -c anaconda spyder
conda install -c anaconda tensorflow
conda install -c conda-forge spacy
conda install -c plotly plotly-orca psutil requests
conda install -c conda-forge gensim
conda install -c conda-forge pyteaser
conda install -c conda-forge beautifulsoup4
conda install -c conda-forge poppler
conda install -c conda-forge textblob
conda install -c conda-forge pytesseract
conda install -c bioconda wkhtmltopdf
conda install -c libgcc
conda install -c conda-forge python-docx
conda install -c conda-forge pdftotext
conda update --all
python -m nltk.downloader stopwords
sudo apt-get install -y libpoppler-cpp-dev
sudo pip install --upgrade pip
sudo pip install wheel
sudo pip install pandas
sudo pip install nltk
sudo pip install textract
sudo pip install pdfkit
sudo pip install pdftotext
sudo pip install --upgrade tfBinaryURL
sudo pip install pyteaser
sudo pip install fuzzy
sudo pip install python-docx
sudo pip install pdftotext
sudo pip install --pre python-docx
sudo pip install pypdf2
sudo apt-get update
sudo apt-get install build-essential libpoppler-cpp-dev pkg-config python-dev
sudo apt-get install -y python-dev libxml2-dev libxslt1-dev antiword unrtf poppler-utils pstotext tesseract-ocr flac ffmpeg lame libmad0 libsox-fmt-mp3 sox libjpeg-dev swig libpulse-dev
pip install pdfkit
pip install pdftotext
sudo pip install nltk
sudo pip install vaderSentiment
sudo pip install --upgrade nltk
sudo pip install --upgrade keras
For Linux:
>> wget https://github.com/wkhtmltopdf/wkhtmltopdf/releases/download/0.12.3/wkhtmltox-0.12.3_linux-generic-amd64.tar.xz
>> tar vxf wkhtmltox-0.12.3_linux-generic-amd64.tar.xz
>> cp wkhtmltox/bin/wk* /usr/local/bin/
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Inital Run Uncomment the following lines (128-131) in multi_file_processor.py to download the NLTK resources,
After the 1st run you can remove or comment them out.
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See Quick tutorial in the (DocNovus.mp4) file.
Place all files to be analyzed into a folder. (Folder name can not contain spaces).
- Place the Directory in the job_queue folder
- Call the script as follows: python run-all.py "foldername"
- Or to process all folders in the job_queue directory python monitor.py
Issues:
- All .txt and .csv files need to be UTF8 encoded.
- The process takes a extended amount of time can be optimized.