Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Identifying the Most Frequent Words in Text Curso - Aprendizado Online com Certificado
python

Identifying the Most Frequent Words in Text

Edoardo Cantagallo

Python

11 Chapters

0 Studying now

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

more

Tecnologia

Python

Língua

En

Avaliação

Capítulos

11

Introduction

Import NLTK

Tokenization

Stopwords

List Comprehension

Stemming

Tagging

Lemmatizer

Regexp Tokenizer

Data Visualization

Word Cloud

0%

Introduction

Import NLTK

Tokenization

Stopwords

List Comprehension

Stemming

Tagging

Lemmatizer

Regexp Tokenizer

Data Visualization

Word Cloud

Descrição do Curso

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

Siga-nos

trustpilot logo

Endereço

codefinity
Sentimos muito que algo saiu errado. O que aconteceu?
some-alt