This project aims to develop an NLP model for tasks like sentiment analysis, text classification, or named entity recognition.
- Project Selection: Choose a specific NLP task.
- Data Collection: Gather and prepare a dataset relevant to the task. Couldn't push my Dataset, Link Kaggle: https://www.kaggle.com/datasets/marknature/natural-language-processing-intencareer-project?utm_medium=social&utm_campaign=kaggle-dataset-share&utm_source=linkedin
- Preprocessing: Clean and preprocess the text data.
- Model Development: Develop an NLP model using ML or DL techniques.
- Training and Evaluation: Train the model and evaluate its performance.
- Results Presentation: Present the results, including model accuracy and insights.
For more details, refer to the project guidelines. LinkedIn: https://www.linkedin.com/in/marknature-c/
More code i used for practice, https://www.kaggle.com/code/marknature/nlp-for-fake-news-classification
