devraj4522/sentiment-analys

Social Media Sentiment analysis

@app.route('/predict-str', methods=['POST']) def predict_message(): data = request.json message = data.get('message', '') start_time = time.time() prediction = predictor.predict(message)

response = {
    'message': message,
    'prediction': prediction,
    'elapsed_time': time.time() - start_time
}

return jsonify(response)

@app.route('/predict-list', methods=['POST']) def predict_list(): data = request.json messages = data.get('messages', []) start_time = time.time() predictions = predictor.predict(messages)

response = {
    'messages': messages,
    'predictions': predictions,
    'elapsed_time': time.time() - start_time
}

return jsonify(response)

if name == 'main': app.run()

API Endpoints

• predict-str: Predicts the sentiment of a single message
  • parameters: message
  • json response: {message, prediction, elapsed_time}
• predict-list: Predicts the sentiment of a list of messages
  • parameters: messages (list)
  • json response: {messages, predictions, elapsed_time}