Speech Sentimental Analysis using BERT

Getting Started

To start with, it is recommended to create a virtual environment using the following command.

    python -m venv speechsent

Next activate the virtual environment.

Linux/Unix

    source ./speechsent/Scripts/activate

Windows

    ./speechsent/Scripts/activate

Then install all the dependencies using the command

    pip install -r requirements.txt

Getting the model weights

1. To download the model`s weights, you can access the google drive link.

2. Paste the file in the model folder and proceed forward with the execution.

Execution

Execute the model using the following command.

    python audio_sentiment.py [/audio/filename]

The [/audio/filename] is optional, as you will be asked to specify the filename within the program execution.