What I built Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by a...What I built Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by a...
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
What I built
Developed a Natural Language Processing (NLP) solution to detect DI Flag issues by analyzing and classifying text descriptions.
How it works
Cleaned text data by removing hashtags, HTML tags, special characters, and numeric values.
Applied text preprocessing techniques including tokenization, stop-word removal, stemming, and lemmatization.
Converted text into numerical features using Bag of Words (BoW) and TF-IDF.
Trained and evaluated the model using accuracy and confusion matrix metrics.
Performed 30 days of validation testing before production deployment.
Technologies
Python · NLP · Scikit-learn · TF-IDF · Bag of Words · Pandas · NumPy
Outcome
Built a text classification solution that helped identify DI Flag issues from descriptions and validated the model's performance before deployment.
Post image
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started