News classification and recommend model
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Updated
Mar 22, 2021 - Jupyter Notebook
News classification and recommend model
A project on unsupervised topic modeling of garage reviews.
Kaggle Challenge: User Gender Classification on Reddit using NLP.
Developed a NLP classification model that can classify negative reviews of restaurants, help restaurant managers save time on reviewing comments, absorbing information. Analyze the service defects, help restaurants improve business
A bag of words analisys based on IMDB movie opinions with PySpark
Analysis of capsule network performance for text classification (IMDB)
Estudo de caso onde o objetivo será desenvolver um modelo que seja capaz de classificar os sentimentos dos usuários do Twitter com base em seus tweets. Foi treinado um modelo com 800 mil tweets em português separados em classes positivas, negativas e neutras.
Predict which Tweets are about real disasters and which ones are not
Scraping paper data, preprocessed and trained using BERT variants, deployment and an integration to website
Create Model NLP Classification Bank Customer Complaint and Deploy to Streamlit
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