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$
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I will do sentiment analysis and text classification using machine learning
Wakeel K
About this gig
Are you looking to analyze text data for sentiment or classify it into categories using
AI?
I will build a custom Streamlit web app that performs sentiment analysis or text classification using powerful machine learning or NLP models.
What You'll Get:
Clean, interactive Streamlit UI
Sentiment prediction from text, file upload, or form input
Real-time classification results with charts or visual feedback
Preprocessing, tokenization, and model integration (TF-IDF, SVM, Naive Bayes, etc.)
Option to use your own dataset (CSV, Excel, or TXT)
️ Use Cases:
- Customer feedback analyzer
- Product review sentiment checker
- Support ticket categorization
- Custom email/text classifier
Whether you're a student, researcher, or business owner, Ill deliver a user-friendly app tailored to your data and needs.
️ Extras Available: Deploy to web (Streamlit Cloud), export model, advanced dashboard, and more.
Get to know Wakeel K
Wakeel K
AI and Python Developer, Chatbots, Automation, ML, NLP Solutions
- FromPakistan
- Member sinceApr 2025
- Last delivery10 months
Languages
Urdu, Hindi, English
I’m an AI and Python developer with 2 years of hands-on experience in machine learning, deep learning, and automation. Currently pursuing my (BS in Artificial Intelligence at NUST), I combine strong academic knowledge with practical expertise. I’ve built and deployed projects like a CNN flower classifier, chatbots in VS Code, and cloud apps on Streamlit including a WordCloud generator and speech-to-text converter. My focus is delivering reliable, creative, and efficient AI solutions with clear communication.
My Portfolio
FAQ
Can I use my own dataset?
Yes! You can share your dataset in CSV, Excel, or plain text format, and I’ll train the model on it.
Will the app work online?
Yes, I can host it for you on Streamlit Cloud or guide you on running it locally.
What kind of text classification models do you use?
I use models like Naive Bayes, Logistic Regression, Random Forest, or Decision Tree after converting text into numeric form using TF-IDF or similar methods.
Can I get both sentiment analysis and classification in one app?
Absolutely -I can combine them or create tabs for each functionality.
Do I need any coding skills to use the final app?
Not at all! You’ll get a simple, no-code UI to use directly
