I will build a sentiment analysis model using nlp and ml

Struggling to make sense of customer reviews, tweets, or feedback at scale? I'll build you a custom sentiment analysis model that classifies text as positive, negative, or neutral with real accuracy metrics, not guesswork.

What you get:

Data cleaning & preprocessing of your raw text

TF-IDF + Logistic Regression model trained on YOUR data

Accuracy, F1-score, and confusion matrix report

Clear visualizations (sentiment distribution, word clouds)

Optional: live API endpoint (FastAPI) so your team or app can call predictions in real time

I've applied this exact approach in production including a deployed FastAPI sentiment service so you're getting a working, tested pipeline, not a tutorial copy-paste.

Perfect for: product review analysis, social media monitoring, customer support ticket triage, brand sentiment tracking, survey response analysis.

Send me your dataset (CSV, Excel, or raw text) and I'll get started immediately. Questions before ordering? Message me happy to advise on the right package for your data size and goals.