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Text Summarization with TF-ISF

TF ScoreTF Score

Term Frequency (TF) is a measure that quantifies the importance of a word within a specific sentence or document, relative to the sentence or document's length. In essence, it's a way to highlight how frequently a word appears, adjusted for the size of the text to ensure fairness across texts of different lengths.

TF is calculated using a logarithmic scale to dampen the effect of very high frequencies, which helps maintain a balanced importance across all words. The formula used here is log(1 + (frequency of the word in the sentence) / (total number of words in the sentence)). This adjustment accounts for the intuition that the significance of a word to a sentence does not increase linearly with its frequency.

For each sentence in our list of tokenized sentences (tokenized_sentences), we calculate the TF score for every unique word. This is achieved by iterating through each word in a sentence, calculating its frequency relative to the sentence length, and applying the logarithmic formula. The result is a dictionary for each sentence, mapping words to their respective TF scores.

Task

Calculate the term frequency (TF) of each word in each sentence.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 7
AVAILABLE TO ULTIMATE ONLY
course content

Course Content

Text Summarization with TF-ISF

TF ScoreTF Score

Term Frequency (TF) is a measure that quantifies the importance of a word within a specific sentence or document, relative to the sentence or document's length. In essence, it's a way to highlight how frequently a word appears, adjusted for the size of the text to ensure fairness across texts of different lengths.

TF is calculated using a logarithmic scale to dampen the effect of very high frequencies, which helps maintain a balanced importance across all words. The formula used here is log(1 + (frequency of the word in the sentence) / (total number of words in the sentence)). This adjustment accounts for the intuition that the significance of a word to a sentence does not increase linearly with its frequency.

For each sentence in our list of tokenized sentences (tokenized_sentences), we calculate the TF score for every unique word. This is achieved by iterating through each word in a sentence, calculating its frequency relative to the sentence length, and applying the logarithmic formula. The result is a dictionary for each sentence, mapping words to their respective TF scores.

Task

Calculate the term frequency (TF) of each word in each sentence.

Mark tasks as Completed

Everything was clear?

Section 1. Chapter 7
AVAILABLE TO ULTIMATE ONLY
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