Data analysis

• Document here the project: NLPmoviereviews
• Description: Use ML/DL to perform sentiment anaylsis on movie reviews
• Data Source: Tensorflow imdb reviews dataset
• Type of analysis: A comparison of NLP models for sentiment analysis

Our webapp

https://nlp-movie-review-anffoy276a-ey.a.run.app

Startup the project

The initial setup.

Create virtualenv and install the project:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv ~/venv ; source ~/venv/bin/activate ;\
    pip install pip -U; pip install -r requirements.txt

Unittest test:

make clean install test

Check for NLPmoviereviews in gitlab.com/sridhar211. If your project is not set please add it:

• Create a new project on gitlab.com/sridhar211/NLPmoviereviews
• Then populate it:

##   e.g. if group is "sridhar211" and project_name is "NLPmoviereviews"
git remote add origin git@github.com:sridhar211/NLPmoviereviews.git
git push -u origin master
git push -u origin --tags

Functionnal test with a script:

cd
mkdir tmp
cd tmp
NLPmoviereviews-run

Install

Go to https://github.com/sridhar211/NLPmoviereviews to see the project, manage issues, setup you ssh public key, ...

Create a python3 virtualenv and activate it:

sudo apt-get install virtualenv python-pip python-dev
deactivate; virtualenv -ppython3 ~/venv ; source ~/venv/bin/activate

Clone the project and install it:

git clone git@github.com:sridhar211/NLPmoviereviews.git
cd NLPmoviereviews
pip install -r requirements.txt
make clean install test                # install and test

Functionnal test with a script:

cd
mkdir tmp
cd tmp
NLPmoviereviews-run