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
Zagazig, Egypt - 8:06 pm local time
I am an AI Engineer and Full-Stack Developer dedicated to building intelligent, data-driven solutions that solve real-world problems. With deep expertise in Machine Learning (ML), Deep Learning (DL), and Computer Vision (CV), I specialize in transforming complex data into actionable insights and functional applications.
My technical toolkit includes Python, Node.js, React, and TypeScript. I have a proven track record of developing end-to-end projects, from medical diagnostic tools—such as Alzheimer’s MRI Classification and ECG Data Analysis—to robust management systems and educational animations using Manim.
What I bring to your project:
Precision in AI: Expertise in building and fine-tuning models for image processing and predictive analytics.
Full-Stack Capability: Ability to build both the "brain" (AI) and the "body" (Web Interface) of an application using the MERN stack.
Technical Communication: Fluent in technical English and native in Arabic, ensuring clear documentation and seamless collaboration.
Problem-Solving Mindset: A background in entrepreneurship that helps me understand business goals, not just code.
Whether you need a custom ML model, a data visualization tool, or a scalable web application, I deliver high-quality, production-ready code tailored to your specific needs
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.