About Sentiment Analysis

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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

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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

3. Enter the virtual environment

myenv\Scripts\activate

4. Install module needed by running this code

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

5. Go to path below

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

6. Rewrite "register_load_context_function" to "register_call_context_function" (line 68)
7. Run the app

python sentiment_analysis.py

6. Open browser and go to link below

http://127.0.0.1:5000/docs/

Successful deployment will result below.

Directory and File List

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Analysis Report

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