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A lightweight word tokenizer utility with ready-to-use NLP and text processing examples.

Project description

wordd_tokenize

IR Practicals source code, accessible as simple string attributes.

Installation

pip install wordd_tokenize

Usage

import wordd_tokenize

# Print any practical (a through j)
print(wordd_tokenize.a)   # Prac 1 - Inverted Index
print(wordd_tokenize.b)   # Prac 2 - Boolean + Vector Space Model
print(wordd_tokenize.c)   # Prac 3 - Spelling Correction
print(wordd_tokenize.d)   # Prac 4 - Evaluation Metrics
print(wordd_tokenize.e)   # Prac 5 - Text Categorization (SVM)
print(wordd_tokenize.f)   # Prac 6 - K-Means Clustering
print(wordd_tokenize.g)   # Prac 7 - Web Crawler
print(wordd_tokenize.h)   # Prac 8 - PageRank
print(wordd_tokenize.i)   # Prac 9 - RankSVM
print(wordd_tokenize.j)   # Prac 10 - Question Answering (spaCy)

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