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

Contenido del Curso

Extracting Text Meaning using TF-IDF

test

Swipe to show menu

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.

Tarea
test

Swipe to show code editor

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

Mark tasks as Completed
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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