I will build nlp solution for sentiment analysis and text classification
Data Scientist Dot NET Developer Python R ML AI Solutions
About this Gig
Here is your NLP gig description at exactly 1200 characters:
Are you looking for powerful NLP and machine learning solutions for your text or speech data?
I specialize in building smart, scalable NLP models using Python and Transformers delivering clean, well-documented, production-ready solutions tailored to your needs.
What I build:
Sentiment Analysis Positive, negative, and neutral classification for reviews, surveys, and social media data.
Text Classification and Topic Modeling Spam detection, intent classification, and topic clustering pipelines for any domain.
Chatbots and Conversational AI Rule-based and AI-powered chatbots using Transformers and Rasa frameworks.
Named Entity Recognition Extract names, dates, locations, and custom entities from any text dataset.
Speech to Text Voice recognition pipelines using Whisper and DeepSpeech for audio data.
Advanced Transformer Models BERT, RoBERTa, and GPT fine-tuning for domain-specific classification tasks.
Tech Stack: Python, NLTK, spaCy, Hugging Face Transformers, Scikit-learn, TensorFlow, PyTorch
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FAQ
Can you use my dataset for training?
Yes! I can work with your dataset and also recommend preprocessing steps to improve quality.
What if I don’t know what type of model I need?
No worries! Share your problem and data, and I’ll guide you with the best approach.
Do you provide code and documentation?
Yes, all my packages include clean, documented Python code. Premium includes full technical documentation.

