NLP Text Classification & Sentiment Analysis by Essam MakaremNLP Text Classification & Sentiment Analysis by Essam Makarem
NLP Text Classification & Sentiment Analysis Essam Makarem
Cover image for NLP Text Classification & Sentiment Analysis
I will build an NLP workflow using Python to clean, preprocess, analyze, and classify text data based on your project requirements. The service can include text cleaning, token preparation, feature extraction, sentiment analysis, text classification, model training, and performance evaluation. I can work with datasets such as customer reviews, survey responses, comments, feedback, or other structured text datasets. Deliverables
Cleaned and preprocessed text dataset
NLP preprocessing workflow
Text classification or sentiment analysis model
Model evaluation metrics
Relevant visualizations
Jupyter/Colab notebook with organized code
Short summary of the approach and results
FAQs

Contact for pricing
Duration1 week
Tags
pandas
Python
scikit-learn
Machine Learning
Natural Language Processing
Data Preprocessing
NLP
Sentiment Analysis
Text Classification
Service provided by
Essam Makarem Alexandria, Egypt
NLP Text Classification & Sentiment Analysis Essam Makarem
Contact for pricing
Duration1 week
Tags
pandas
Python
scikit-learn
Machine Learning
Natural Language Processing
Data Preprocessing
NLP
Sentiment Analysis
Text Classification
Cover image for NLP Text Classification & Sentiment Analysis
I will build an NLP workflow using Python to clean, preprocess, analyze, and classify text data based on your project requirements. The service can include text cleaning, token preparation, feature extraction, sentiment analysis, text classification, model training, and performance evaluation. I can work with datasets such as customer reviews, survey responses, comments, feedback, or other structured text datasets. Deliverables
Cleaned and preprocessed text dataset
NLP preprocessing workflow
Text classification or sentiment analysis model
Model evaluation metrics
Relevant visualizations
Jupyter/Colab notebook with organized code
Short summary of the approach and results
FAQs

Contact for pricing