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Sentiment Analysis Service

This project provides a sentiment analysis service using Clojure and Python. The service exposes a REST API to analyze the sentiment of text data.

Prerequisites

• Clojure: Ensure you have Clojure installed.

• Python: Ensure you have Python and pip installed, since you are going to need pysentimiento.

If you install conda, make sure to set the LD_LIBRARY_PATH as follows:
export LD_LIBRARY_PATH="$(python3-config --prefix)/lib"

It is convenient to use a tool to manage the environment on a per-project basis, like direnv. If you go down that route, you will find the .envrc file in the base folder of the project managing the environmental variables for you.

• Dependencies: The project uses the following libraries:

• ring

• reitit

• muuntaja

• libpython-clj2

• pysentimiento

Setup

  1. Clone the repository:
git clone <repository-url>
cd <repository-directory>
  1. Set up the environment:

Install Python dependencies:

pip install pysentimiento

Or create a conda environment and install pysentimiento.

Running the Service

  1. Build the uberjar:
clj -T:build uber
  1. Run the server:
java -jar target/sentiment-analysis-1.2.10-standalone.jar
  1. Server will run on port 3000:

API Endpoints
Health Check
• Endpoint: /health

• Method: GET

• Response:

{
"status": 200
}

Sentiment Analysis • Endpoint: /sentiment

• Method: POST

• Request parameters: data="Your text goes here"

• Response:

{
"sentimiento": "Positivo/Negativo/Neutro",
"probabilidades": {
"Positivo": "xx.x%",
"Negativo": "xx.x%",
"Neutro": "xx.x%"
}
}

• Example : curl -XPOST 'http://localhost:3000/sentiment' -d 'data=Un Golf no se compra se alcanza' response : {"sentimiento":"Positivo","probabilidades":{"Negativo":"7.2%","Positivo":"58.3%","Neutro":"34.4%"}} Code Overview
• Namespace: sentiment-analysis.core

• Dependencies: Required libraries are imported at the beginning.a

• Python Initialization: Python environment is initialized using libpython-clj2.

• Sentiment Analyzer: Created using pysentimiento.

• Routes: Defined for health check and sentiment analysis.

• Server: Configured to run on port 3000.

License
This project is licensed under the MIT License.