Cock and Bol

Cock and Bol is a powerful and efficient Python library designed for text processing and manipulation. It provides a wide range of functions and tools that can be used by programmers to simplify their text-related tasks. Whether you are working on natural language processing, data cleaning, or content analysis, Cock and Bol has got you covered.

Features

1. Text cleaning and normalization: Cock and Bol offers various functions to clean and normalize text data. It includes removing special characters, converting text to lowercase, removing stop words, and more.

• Example code:

import cockandbol as cb

text = "Hello, World! This is some sample text."
cleaned_text = cb.clean_text(text)

print(cleaned_text)
# Output: hello world sample text

2. Text tokenization: Cock and Bol provides tokenization techniques that split text into individual words or sentences, making it easier to analyze or process the text further.

• Example code:

import cockandbol as cb

text = "This is some sample text."
word_tokens = cb.word_tokenize(text)

print(word_tokens)
# Output: ['This', 'is', 'some', 'sample', 'text', '.']

3. Text similarity: Cock and Bol includes methods for calculating the similarity between two texts. It utilizes algorithms like cosine similarity, Levenshtein distance, and Jaccard index.

• Example code:

import cockandbol as cb

text1 = "This is some sample text."
text2 = "This is another sample text."

similarity_score = cb.calculate_similarity(text1, text2)

print(similarity_score)
# Output: 0.86

4. Text summarization: Cock and Bol provides tools for generating summaries of text documents, making it easier to extract key information from large bodies of text.

• Example code:

import cockandbol as cb

text = "This is a long text. It contains several sentences. Summarize this for me."

summary = cb.summarize_text(text)

print(summary)
# Output: 'This is a long text. Summarize this for me.'

Installation

To install Cock and Bol, simply use pip:

pip install cockandbol

Conclusion

Cock and Bol simplifies text processing for programmers, offering a wide range of functions and tools for text cleaning, tokenization, similarity calculation, and text summarization. With its easy-to-use interface and powerful capabilities, it is a great addition to any text-related project.