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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.

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static
static
 
 
templates
templates
 
 
Procfile
Procfile
 
 
README.md
README.md
 
 
Spam Text Classification.py
Spam Text Classification.py
 
 
app.py
app.py
 
 
model.ipynb
model.ipynb
 
 
model.py
model.py
 
 
requirements.txt
requirements.txt
 
 
rfmodel.pickle
rfmodel.pickle
 
 
spam.csv
spam.csv
 
 
transformer.pickle
transformer.pickle
 
 

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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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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.

Topics

python nlp text-classification sklearn nltk textpreprocessing tfidf-vectorizer

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