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English
$
USD
I will build nlp models for sentiment analysis and text classification
Machine Learning and Data Science
I deliver practical Data Science & Machine Learning solutions to extract value from raw datasets. [ CORE WORKFLOW ] Data Cleaning ➔ EDA ➔ Feature Engineering ➔ Predictive Modeling. [ TECH STACK ] Pyth...
About this Gig
Messy customer feedback, endless support tickets, and unorganized text data can slow your operations down. Setting up an automated machine learning backend keeps your workflow moving smoothly.
I build custom Natural Language Processing (NLP) models that process and classify your text datasets automatically. Whether you want to analyze customer sentiment from historical reviews or sort bulk text files and logs, I deliver a fully trained backend solution tailored to your data.
What I Will Provide:
- Sentiment Analysis Model: Trained algorithms to accurately classify customer reviews, feedback, or text logs as positive, negative, or neutral.
- Text Classification Engine: Automated sorting models that categorize bulk records, support tickets, or text documents based on your labels.
- Complete Code & Model Files: Clean Python notebooks (.ipynb), trained .pkl model files, and full documentation so you retain 100% ownership and control.
My Tech Stack:
Python, Scikit-learn, Pandas, NumPy, and Jupyter Notebook.
Text data is unique and requires careful handling. Please message me with your dataset sample and goals before ordering so we can confirm the exact scope.
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What types of text data can you work with?
I work with unstructured text data in CSV or Excel formats, such as customer reviews, support tickets, feedback logs, social media text, or survey responses ready for text classification and sentiment analysis.
Will I receive the trained model and source code?
Yes! You will receive clean, commented Python source code in Jupyter Notebook format (.ipynb) along with the fully trained .pkl model files. You maintain 100% full ownership of all deliverables.
How will I run or use the model after delivery?
I provide clear step-by-step documentation. For the Basic and Standard packages, you run predictions locally via Python code. For the Premium package, you can use the included local Streamlit UI script.
Do you provide cloud deployment or live API integration?
No. This gig focuses strictly on building the backend machine learning model and local code/UI. Cloud hosting, server deployment, and live web API integrations are outside the standard scope.
Should I contact you before placing an order?
Yes, absolutely! Please send me a quick message with your dataset sample and prediction goals first. This allows me to confirm the project scope and ensure everything aligns smoothly.
