Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Score Sentences | Extracting Text Meaning using TF-IDF
Extracting Text Meaning using TF-IDF
course content

Conteúdo do Curso

Extracting Text Meaning using TF-IDF

book
Score Sentences

Having established the TF-ISF scores for individual words within sentences, our next step transitions from a word-centric analysis to evaluating entire sentences.

Summarizing Sentence Significance

The essence of calculating sentence scores lies in aggregating the TF-ISF scores of all words within a sentence. This cumulative approach allows us to assess the sentence's overall informational value to the text.

For each sentence, we calculate its total TF-ISF score by summing up the TF-ISF scores of all the words it contains.

This is achieved by iterating through the list of dictionaries (tf_isf_scores), each representing a sentence's word scores, and summing these scores. The result is a list (sentence_scores) where each element corresponds to the total TF-ISF score of a sentence.

Tarefa
test

Swipe to show code editor

Calculate the total score for each sentence using the TF-ISF scores.

Mark tasks as Completed
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 1. Capítulo 11
AVAILABLE TO ULTIMATE ONLY
We're sorry to hear that something went wrong. What happened?
some-alt