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This notebook contains entire text preprocessing pipeline for NLP problems. The ready-to-use functions require NLTK and SKlearn package installations. It also contains some prominent text classification models.

Python 2.22% Procfile 0.01% Jupyter Notebook 97.49% CSS 0.10% HTML 0.18%
nlp nltk python sklearn text-classification textpreprocessing tfidf-vectorizer

spam-text-classification_basic's Introduction

NLP - Text cleaning and processing pipeline. Text processing pipeline for NLP problems with ready-to-use functions and text classification models. Code file environment - Jupyter notebook

Language - Python

Packages - NLTK (Natural Language ToolKit) and Sklearn

Data source - https://www.kaggle.com/team-ai/spam-text-message-classification

Data format - .csv

The functions could be directly used in any other input data format.

Applinks

https://spammlapp.herokuapp.com/

http://ec2-3-19-188-163.us-east-2.compute.amazonaws.com:8080/predict

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