You will get NLP Text Classification & Sentiment Analysis with Python
Project details
I help businesses turn raw, messy text data into clear, actionable insights using Natural Language Processing and Machine Learning. Whether it's customer reviews, survey responses, or social media comments, I build sentiment analysis and text classification models that accurately categorize your data — so you can understand what your customers really think, at scale.
I've built and compared multiple modeling approaches (deep learning and traditional ML) to find the best fit for each dataset's size and complexity, rather than relying on a single method. My background includes leading an NLP-based capstone project (Pijak x IBM SkillsBuild) as both project manager and lead ML engineer, plus an independent sentiment analysis project processing over 11,000 real-world reviews.
I focus on clean, well-documented code and clear communication — you'll get not just a working model, but also an explanation of how it works and how to use the results. If your project needs custom preprocessing (e.g., Indonesian-language text, informal/slang language), I have direct experience handling that too.
I've built and compared multiple modeling approaches (deep learning and traditional ML) to find the best fit for each dataset's size and complexity, rather than relying on a single method. My background includes leading an NLP-based capstone project (Pijak x IBM SkillsBuild) as both project manager and lead ML engineer, plus an independent sentiment analysis project processing over 11,000 real-world reviews.
I focus on clean, well-documented code and clear communication — you'll get not just a working model, but also an explanation of how it works and how to use the results. If your project needs custom preprocessing (e.g., Indonesian-language text, informal/slang language), I have direct experience handling that too.
Machine Learning Tools
NLTK, NumPy, pandas, Python, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$30
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
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
+$10 - $50
Additional Revision
+$5
Model Validation/Testing
(+ 2 Days)
+$20Frequently asked questions
About Armand
Software and Machine Learning Engineer
Bandung, Indonesia - 7:14 am local time
I specialize in building machine learning and NLP solutions, including text classification, sentiment analysis, and data-driven recommendation systems. I'm comfortable working across the full ML pipeline — from data collection and preprocessing to model training, evaluation, and deployment — using tools like Python, TensorFlow, TF-IDF, and cosine similarity.
Recent work includes:
- Led CareerMatch AI, a capstone project developed with Pijak x IBM SkillsBuild, as Project Manager and Lead ML Engineer — building an NLP-based system to match job seekers with relevant career opportunities.
- Built an independent NLP sentiment analysis project, scraping and labeling over 11,000 reviews to train and evaluate classification models.
- Developed full-stack applications (PDFGuerrilla, KuroTech Notebook) using Next.js and Node.js, giving me a practical understanding of how ML models integrate into real, usable products.
I also have working proficiency in Python, C++, Java, JavaScript, PHP, and web technologies like HTML5, CSS3, and Next.js, which lets me support projects beyond just modeling — including building interfaces and lightweight backend services around ML pipelines.
I communicate clearly, meet deadlines, and enjoy translating messy real-world data into clean, actionable insights. Whether you need a sentiment analysis pipeline, a text classification model, or a small ML-powered feature for your product, I'm ready to help bring it to life.
Let's talk about your project — I'd love to help you solve it.
Steps for completing your project
After purchasing the project, send requirements so Armand can start the project.
Delivery time starts when Armand receives requirements from you.
Armand works on your project following the steps below.
Revisions may occur after the delivery date.
Review your dataset and requirements to confirm scope and expected output
Clean and preprocess the text data (handling noise, stopwords, formatting)