Venkates1
Venkateswarlu Nagineni
Recently Published
Fake News Detection Using Machine Learning
The goal of this project is to develop a machine learning model to classify news articles into categories such as Bias or Conspiracy based on linguistic features, using Text Mining and Machine Learning techniques in R.
We will follow a structured pipeline:
1. Data Exploration (EDA)
2. Text Preprocessing
3. TF-IDF Feature Engineering
4. Word Cloud Analysis
5. Sentiment Analysis)
6. Train-Validation-Test Split
7. Model Building(Random Forest and SVM)
8. Model Evaluation
9. Final Model Comparison and Conclusion
10.Future Directions
Fake News Detection Using Machine Learning
The goal of this project is to develop a machine learning model to classify news articles into categories such as Bias or Conspiracy based on linguistic features, using Text Mining and Machine Learning techniques in R.
We will follow a structured pipeline:
1. Data Exploration (EDA)
2. Text Preprocessing
3. TF-IDF Feature Engineering
4. Word Cloud Analysis
5. Sentiment Analysis)
6. Train-Validation-Test Split
7. Model Building(Random Forest and SVM)
8. Model Evaluation
9. Final Model Comparison and Conclusion
10.Future Directions