Counting bigrams (pair of two words) in a file using Python

Counting bigrams (pair of two words) in a file using Python

To count bigrams (pairs of two consecutive words) in a text file using Python, you can follow these steps:

  1. Read the text file.
  2. Tokenize the text into words.
  3. Create bigrams by pairing consecutive words.
  4. Count the frequency of each bigram.

Here's a Python script to do that:

from collections import Counter import re # Read the text file with open('your_text_file.txt', 'r', encoding='utf-8') as file: text = file.read() # Tokenize the text into words (you can customize this based on your needs) words = re.findall(r'\w+', text.lower()) # Create bigrams bigrams = [(words[i], words[i+1]) for i in range(len(words) - 1)] # Count the frequency of each bigram bigram_counts = Counter(bigrams) # Print the most common bigrams and their frequencies for bigram, count in bigram_counts.most_common(): print(f'{bigram}: {count}')

Make sure to replace 'your_text_file.txt' with the path to your text file. This script reads the file, tokenizes it into words (here, we use a simple regex to split the text into words), creates bigrams, and counts the frequency of each bigram using the Counter class from the collections module.

You can further customize the tokenization process or add additional text preprocessing steps based on the specific requirements of your text data.

Examples

  1. Python count bigrams in a text file

    • Description: This query seeks to count the occurrences of bigrams (pairs of two words) in a text file using Python, which is a common task in natural language processing (NLP) and text analysis.
    # Code to count bigrams in a text file from collections import Counter import re def count_bigrams_in_file(file_path): bigrams = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) bigrams.extend(zip(words[:-1], words[1:])) return Counter(bigrams) # Example usage file_path = 'sample.txt' bigram_counts = count_bigrams_in_file(file_path) print("Bigram counts:", bigram_counts)

  2. Python find bigrams in file

    • Description: This query focuses on finding bigrams in a text file using Python, demonstrating a method to extract pairs of adjacent words for analysis or processing.
    # Code to find bigrams in a text file import re def find_bigrams_in_file(file_path): bigrams = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) bigrams.extend(zip(words[:-1], words[1:])) return bigrams # Example usage file_path = 'sample.txt' bigrams_found = find_bigrams_in_file(file_path) print("Bigrams found:", bigrams_found)

  3. Python count word pairs in file

    • Description: This query aims to count word pairs (bigrams) in a text file using Python, showcasing a method to analyze the frequency of consecutive word combinations.
    # Code to count word pairs (bigrams) in a text file from collections import Counter import re def count_word_pairs_in_file(file_path): word_pairs = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) word_pairs.extend(zip(words[:-1], words[1:])) return Counter(word_pairs) # Example usage file_path = 'sample.txt' word_pair_counts = count_word_pairs_in_file(file_path) print("Word pair counts:", word_pair_counts)

  4. Python calculate bigram frequency in file

    • Description: This query addresses calculating the frequency of bigrams (pair of two words) in a text file using Python, which involves counting occurrences of word pairs.
    # Code to calculate bigram frequency in a text file from collections import Counter import re def calculate_bigram_frequency(file_path): bigrams = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) bigrams.extend(zip(words[:-1], words[1:])) bigram_frequency = Counter(bigrams) total_bigrams = sum(bigram_frequency.values()) normalized_frequency = {bigram: count / total_bigrams for bigram, count in bigram_frequency.items()} return normalized_frequency # Example usage file_path = 'sample.txt' bigram_frequency = calculate_bigram_frequency(file_path) print("Bigram frequency:", bigram_frequency)

  5. Python extract bigrams from file

    • Description: This query aims to extract bigrams (pairs of two words) from a text file using Python, demonstrating a method to capture consecutive word combinations for further analysis.
    # Code to extract bigrams from a text file import re def extract_bigrams_from_file(file_path): bigrams = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) bigrams.extend(zip(words[:-1], words[1:])) return bigrams # Example usage file_path = 'sample.txt' extracted_bigrams = extract_bigrams_from_file(file_path) print("Extracted bigrams:", extracted_bigrams)

  6. Python bigram frequency analysis

    • Description: This query involves analyzing the frequency of bigrams (pairs of two words) in a text file using Python, illustrating a method to gain insights into word associations and patterns.
    # Code for bigram frequency analysis in a text file from collections import Counter import re def bigram_frequency_analysis(file_path): bigrams = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) bigrams.extend(zip(words[:-1], words[1:])) bigram_counts = Counter(bigrams) return bigram_counts # Example usage file_path = 'sample.txt' bigram_counts = bigram_frequency_analysis(file_path) print("Bigram frequency analysis:", bigram_counts)

  7. Python count adjacent word pairs in file

    • Description: This query focuses on counting adjacent word pairs (bigrams) in a text file using Python, demonstrating a method to capture consecutive word combinations for analysis.
    # Code to count adjacent word pairs (bigrams) in a text file from collections import Counter import re def count_adjacent_word_pairs(file_path): word_pairs = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) word_pairs.extend(zip(words[:-1], words[1:])) return Counter(word_pairs) # Example usage file_path = 'sample.txt' word_pair_counts = count_adjacent_word_pairs(file_path) print("Adjacent word pair counts:", word_pair_counts)

  8. Python find consecutive word pairs in file

    • Description: This query aims to find consecutive word pairs (bigrams) in a text file using Python, showcasing a method to extract pairs of adjacent words for analysis.
    # Code to find consecutive word pairs (bigrams) in a text file import re def find_consecutive_word_pairs(file_path): word_pairs = [] with open(file_path, 'r') as file: for line in file: words = re.findall(r'\b\w+\b', line) word_pairs.extend(zip(words[:-1], words[1:])) return word_pairs # Example usage file_path = 'sample.txt' consecutive_word_pairs = find_consecutive_word_pairs(file_path) print("Consecutive word pairs found:", consecutive_word_pairs)

More Tags

elasticsearch-5 short powershell-4.0 row-value-expression weights constraints construct javafx-2 springjunit4classrunner connectivity

More Python Questions

More Physical chemistry Calculators

More Gardening and crops Calculators

More Biology Calculators

More Entertainment Anecdotes Calculators