Sentimental Analysis on COVID-19 Tweets using python

4.6
estrellas
34 calificaciones
ofrecido por
Coursera Project Network
En este Proyecto guiado, tú:

Learn how to Preprocess text data for Sentimental Analysis

Learn how to Label text data with positive, negative and neutral sentiments

Learn to visualize the result of sentiment Analysis

Clock1 hour
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

By the end of this project you will learn how to preprocess your text data for sentimental analysis. So in this project we are going to use a Dataset consisting of data related to the tweets from the 24th of July, 2020 to the 30th of August 2020 with COVID19 hashtags. We are going to use python to apply sentimental analysis on the tweets to see people's reactions to the pandemic during the mentioned period. We are going to label the tweets as Positive, Negative, and neutral. After that, we are going to visualize the result to see the people's reactions on Twitter. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que desarrollarás

lambdaPython ProgrammingPlotlySeabornSentimental Analysis

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. importing our dataset

  2. preprocess and prepare our text data for Sentimental Analysis

  3. visualizing most common words using a bar chart.

  4. using NLTK module to produce Polarity scores for each tweet

  5. visualizing the result of our analysis using line chart

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Reseñas

Principales reseñas sobre SENTIMENTAL ANALYSIS ON COVID-19 TWEETS USING PYTHON

Ver todas las reseñas

Preguntas Frecuentes

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.