Spam and Sentiment Detection in Arabic Tweets Using MARBERT Model

1. 1Collect Arabic tweets related to a specific company or topic using Twitter API
2. 2Preprocess the tweets by removing punctuation and special characters
3. 3Fine-tune the MARBERT model on the collected dataset for spam and sentiment detection
4. 4Evaluate the performance of the model using metrics such as accuracy and F1-score
5. 5Apply the trained model to detect spam and sentiment in new, unseen tweets

Data scientists and NLP engineers on a team can benefit from this knowledge to analyze customer feedback on social media, while product managers can use the insights to improve user satisfaction

💡 The MARBERT model can be fine-tuned for effective spam and sentiment detection in Arabic tweets, providing valuable insights for businesses

📊 Detect spam & sentiment in Arabic tweets with MARBERT! 🚀 Improve social media analysis for businesses #NLP #ArabicNLP