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About Sentiment Analysis

Sentiment Analysis is an API made using Flasgger. It predicts sentiment of inputted data.

It has four endpoints.

  • inputRNN: user can input the text manually here, the system will predict using RNN
  • inputLSTM: user can input the text manually here, the system will predict using LSTM
  • uploadCSV_RNN: user can upload CSV file here, the system will predict using RNN
  • uploadCSV_LSTM: user can upload CSV file here, the system will predict using LSTM

How to Run Sentiment Analysis

  1. Clone this repository, open command prompt
  2. Create a virtual environment with python version of 3.10.9

pip install virtualenv virtualenv -p python3.10.9 myenv

  1. Enter the virtual environment

myenv\Scripts\activate

  1. Install module needed by running this code

pip install -r requirements.txt --no-deps

  1. Go to path below

myenv\Lib\site-packages\keras\src\saving\legacy\saved_model\load_context.py

  1. Rewrite "register_load_context_function" to "register_call_context_function" (line 68)
  2. Run the app

python sentiment_analysis.py

  1. Open browser and go to link below

http://127.0.0.1:5000/docs/

Successful deployment will result below. alt text

Directory and File List

alt text

Analysis Report