You will get I will train a custom Sentiment Analysis model for your text data
Project details
Are you looking to unlock insights from your text data? As an AI Engineer specializing in Natural Language Processing (NLP), I provide end-to-end sentiment analysis solutions that go beyond simple classification. Whether you have customer reviews, social media comments, or survey data, I build robust models tailored to your specific needs.
Why choose this project?
Tailored Architectures: From efficient Scikit-Learn classifiers (SVM, Logistic Regression) to state-of-the-art Transformers (DistilBERT, RoBERTa), I select the architecture that fits your accuracy requirements.
Explainable AI (XAI): Unlike other services, I focus on model interpretability. You’ll understand "why" the model makes its decisions (Available in Advanced/Add-on).
Production-Ready: You receive well-documented, modular Python code and saved model files (.pkl or .pt) ready for immediate use.
Comprehensive Evaluation: Every model comes with a detailed report featuring Accuracy, Precision, Recall, F1-Score, and Confusion Matrices.
Let’s transform your raw text into meaningful insights. Order now and get a professional-grade classifier!
Why choose this project?
Tailored Architectures: From efficient Scikit-Learn classifiers (SVM, Logistic Regression) to state-of-the-art Transformers (DistilBERT, RoBERTa), I select the architecture that fits your accuracy requirements.
Explainable AI (XAI): Unlike other services, I focus on model interpretability. You’ll understand "why" the model makes its decisions (Available in Advanced/Add-on).
Production-Ready: You receive well-documented, modular Python code and saved model files (.pkl or .pt) ready for immediate use.
Comprehensive Evaluation: Every model comes with a detailed report featuring Accuracy, Precision, Recall, F1-Score, and Confusion Matrices.
Let’s transform your raw text into meaningful insights. Order now and get a professional-grade classifier!
Machine Learning Tools
BERT, fastText, Keras, NLTK, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, Stanford CoreNLP, TensorFlow, TextBlob, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $80About Ahmed
AI Engineer | Python | Data Engineering | Machine Learning | Computer
Zagazig, Egypt - 11:20 am local time
Whether you need to clean and process large datasets, build an AI-powered application, develop a machine learning model, or automate complex workflows, I focus on delivering reliable, maintainable, and scalable solutions.
### What I can help you with:
✔ Python Development
✔ Data Cleaning & ETL Pipelines (Pandas, Polars)
✔ Machine Learning & Deep Learning
✔ Computer Vision Applications
✔ AI Chatbots & LLM Integrations
✔ Data Analysis & Visualization
✔ REST APIs & Backend Development
✔ Automation Scripts
### My workflow
• Understand the business problem before writing code.
• Build clean, modular, and maintainable solutions.
• Document everything clearly.
• Deliver tested and production-ready code.
I have worked on projects involving medical image classification, ECG signal analysis, AI-powered applications, educational visualization, backend systems, and data-driven solutions. These experiences have strengthened my ability to solve real-world engineering challenges while maintaining high code quality.
If you're looking for someone who communicates clearly, delivers on time, and writes code that is easy to maintain, I'd be happy to discuss your project.
Let's build something great together.
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Data Understanding & Cleaning
Analyzing your dataset and applying NLP preprocessing (Noise removal, Tokenization, Lemmatization).
Feature Engineering
Converting text into numerical data using TF-IDF, Word Embeddings, or HuggingFace Tokenizers.