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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