You will get Custom NLP Model to Classify News Articles into Specific Topics/Categories
Project details
This project builds a Custom NLP Model using Machine Learning and Natural Language Processing (NLP) to automatically classify news articles into specific topics or categories with high accuracy.
Developed in Python with libraries like pandas, NumPy, NLTK, and scikit-learn, the system performs comprehensive Text Preprocessing, including Stopwords removal, Lemmatization & Stemming.
Advanced feature extraction techniques such as TF-IDF Vectorizer and Word2Vec are used to transform text into numerical features for model training.
The model is trained using powerful Machine Learning algorithms like XGBoost, Logistic Regression, and deep learning frameworks such as Keras and TensorFlow. Its performance is thoroughly evaluated using metrics like Accuracy, Confusion Matrix, ROC curve, and Classification Report to ensure reliable predictions.
This automated NLP classification system can categorize news articles by topic (e.g., Politics, Technology, Sports) or custom business-specific labels, improving content discoverability and user engagement.
Ideal for news aggregators, media houses, and digital publishers. Let's connect to discuss your specific categories and data requirements!
Developed in Python with libraries like pandas, NumPy, NLTK, and scikit-learn, the system performs comprehensive Text Preprocessing, including Stopwords removal, Lemmatization & Stemming.
Advanced feature extraction techniques such as TF-IDF Vectorizer and Word2Vec are used to transform text into numerical features for model training.
The model is trained using powerful Machine Learning algorithms like XGBoost, Logistic Regression, and deep learning frameworks such as Keras and TensorFlow. Its performance is thoroughly evaluated using metrics like Accuracy, Confusion Matrix, ROC curve, and Classification Report to ensure reliable predictions.
This automated NLP classification system can categorize news articles by topic (e.g., Politics, Technology, Sports) or custom business-specific labels, improving content discoverability and user engagement.
Ideal for news aggregators, media houses, and digital publishers. Let's connect to discuss your specific categories and data requirements!
Machine Learning Tools
Keras, NLTK, NumPy, pandas, Python, scikit-learn, SQL, TensorFlow, Word2vec, XGBoostWhat's included $70
These options are included with the project scope.
$70
- Delivery Time 3 days
- Number of Revisions 2
- Number of Model Variations 2
- Number of Scenarios 1
- Number of Graphs/Charts 3
- Model Validation/Testing
- Source Code
Optional add-ons
You can add these on the next page.
Fast 2 Days Delivery
+$20
Model Documentation
(+ 1 Day)
+$15About Mrinmoy
Machine Learning Expert | Data Science | Machine Learning Python
Bogra, Bangladesh - 7:33 pm local time
With proven expertise in Data Science and Machine Learning, I specialize in transforming messy, unstructured data into clean, scalable, and production-ready solutions.
My goal is to help organizations leverage Artificial Intelligence and Data Modeling to make smarter, data-driven decisions that accelerate growth.
I’m a Machine Learning and Data Expert with over one year of experience in Machine Learning Models, Data Analysis, and Data Engineering. My focus isn’t just on building accurate models but on developing systems that truly deliver business value.
My expertise lies in the end-to-end development of Machine Learning models using the Python ecosystem, including NumPy, Pandas, Python Scikit-Learn, TensorFlow, and Keras.
I also have hands-on experience in Natural Language Processing (NLP), Text Classification, and Feature Extraction for intelligent automation.
What sets me apart is my client-centric approach — I believe in clear communication, transparency, and collaboration to ensure every project exceeds expectations.
I’m committed to guiding clients through every stage of the process — from Data Acquisition and Data Preprocessing to Feature Engineering, Model Training, and Deployment.
💡 My Key Technical Skills Include:
✨ Machine Learning: Regression, Classification, Clustering, NLP
✨ Tools & Libraries: Python, SQL, Scikit-Learn, TensorFlow, Keras, NLTK
✨ Data Handling: Data Wrangling, Data Preprocessing, Feature Engineering
✨ Visualization: Matplotlib, Seaborn, Microsoft Power BI
I am passionate about solving real-world problems through data-driven approaches and artificial intelligence.
Let’s connect to discuss how I can help you develop powerful Machine Learning solutions that transform your business.
Steps for completing your project
After purchasing the project, send requirements so Mrinmoy can start the project.
Delivery time starts when Mrinmoy receives requirements from you.
Mrinmoy works on your project following the steps below.
Revisions may occur after the delivery date.
Data Discovery
I will review all provided materials and have a detailed discussion to confirm the project objective, the target variable to predict, and the key business metrics for success.
Data Preprocessing & Exploratory Data Analysis (EDA)
I will load and clean the dataset, handling missing values, correcting data types.I will perform a thorough EDA to understand the distribution of data and the balance of the target categories. This step is crucial for informing the next stages.