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Nov 27, 2020
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Text_preprocessing #408

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04ecbf2
Merge pull request #1 from sanscript-tech/main
eternal-dreamer Nov 1, 2020
d880ec7
Merge pull request #2 from sanscript-tech/main
eternal-dreamer Nov 24, 2020
90eee41
text pre-processing
eternal-dreamer Nov 24, 2020
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33 changes: 33 additions & 0 deletions Python/text_preprocessing_nlp/Readme.md
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## Script to preprocess text using NLP
Bag of words technique has been used.

## Libraries imported
# nltk

# from nltk.corpus import brown
Brown corpus is used.
humor category of brown corpus has been taken as sample data.

# contractions
Install contractions using following command :
pip install contractions
This library is used for expanding contraction.

# nltk.download("punkt")
Used to download Punkt Sentence Tokenizer. This tokenizer divides a text into a list of sentences, by using an unsupervised algorithm to build a model for abbreviation words, collocations, and words that start sentences.

# from nltk.corpus import stopwords
Stopwords contain all the stopwords. English language stopwords have been removed.

# from nltk.stem import PorterStemmer
PorterStemmer is used for stemming.

# from sklearn.feature_extraction.text import CountVectorizer

## Run script
text_preprocessing.ipynb is jupyter notebook.
you can run each cell by clicking on run.
or
You can use google colab also.


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