I will build a sentiment analysis app using python nlp and machine learning

M
muhammadassad58
M
muhammadassad58
Assad
build a sentiment analysis app using python nlp and machine learning
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build a sentiment analysis app using python nlp and machine learning
Full Screen
build a sentiment analysis app using python nlp and machine learningbuild a sentiment analysis app using python nlp and machine learning

About this gig

Hi,

I will develop a Sentiment Analysis application using Python, NLP, and Machine Learning techniques.

Services include:

  • Text sentiment classification (Positive, Negative, Neutral)
  • NLP preprocessing
  • Machine Learning model development
  • Deep Learning models (BERT, Transformers)
  • Streamlit web application
  • Model training and evaluation
  • Source code and documentation

Tools & Technologies:

  • Python
  • Scikit-learn
  • NLTK
  • Transformers
  • PyTorch
  • Streamlit

Why choose me?

  • Clean and well-documented code
  • Fast communication
  • Customized solutions
  • AI and Machine Learning enthusiast

Feel free to contact me before placing an order.

  • Model expertise

    • Custom model development
    • Fine-tuning models
    • Generative AI
    • Predicitive analyatics
    • Recommendation systems

  • Industry

    • Data analytics

  • Programming language

    • Python

  • Language

    • English
    • Hindi

  • Technical expertise

    • Machine learning (Supervised, Unsupervised, Reinforcement)
    • Natural language processing (NLP)
    • Algorithm development and optimization
    • Feature engineering and data processing
    • AI ethics and bias mitigation

Get to know Assad

Assad

AI Engineer

  • FromPakistan
  • Member sinceMay 2026

  • Languages

    Urdu, English
Hi, I am an AI & Machine Learning enthusiast skilled in Python, NLP, Deep Learning, Hugging Face, LangChain, and AI chatbot development. I can build: ✔ AI Chatbots ✔ NLP Projects ✔ Sentiment Analysis Systems ✔ AI Assistants ✔ Machine Learning Models ✔ FastAPI AI APIs I focus on clean code, quality work, and client satisfaction.

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