Mushrifah/sentiment_analysis

A flask app for predicting sentiment of movie reviews trained on imdb movie reviews dataset

Sentiment Analysis on IMDB reviews dataset

A flask app for predicting sentiment of movie reviews trained on imdb movie reviews dataset

Steps to run the project

1. Clone the repository

2. Create a virtual conda environment with conda create -n sentiment python=3.9 and activate the env with conda activate sentiment.

3. Install the necessary packages with pip insatll -r requirements.txt

4. Run python app.py to view the final webpage

Run from docker:

1. Change the Dockerfile by changing the WORKDIR to your own path where project files are stored

2. Build the Dockerfile on cmd as: docker build . -t sentiment

3. Once the image is downloaded run a container as: docker run -d --name sentiment -p 5000:5000 sentiment

4. Now you have a docker container named sentiment running.

5. Go to localhost:5000 to view the sentiment analysis web application