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Mining and Analyzing Facebook Data

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Mining and Analyzing Facebook Data, available at $74.99, has an average rating of 4.75, with 50 lectures, based on 18 reviews, and has 400 subscribers.

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You will learn about Extract data from your Facebook page using the Graph API Extract and analyze the following information: basic page data, views, clicks, engagement, impressions, and posts Apply natural language processing techniques to analyze your Facebook posts Use sentiment analysis to analyze positivity and negativity in user comments Aggregate fans by language, city, country, age and gender Print various types of graphs to analyze Facebook page information Find relationships between page likes and dislikes Extract positive and negative actions in your Facebook page Compare paid, organic and viral content distribution Use time series to predict the future number of page fans using ARIMA algorithm Use the Facebook Prophet tool to predict future page engagement Extract and analyze the text of posts and the text of comments made by the fans This course is ideal for individuals who are Anyone interested in data analysis using social media data or People interested in applying Artificial Intelligence and Data Science techniques to data extracted from social networks or People interested in extracting data from social networks or Undergraduate students who are studying subjects related to Artificial Intelligence, Data Science or Data Analysis It is particularly useful for Anyone interested in data analysis using social media data or People interested in applying Artificial Intelligence and Data Science techniques to data extracted from social networks or People interested in extracting data from social networks or Undergraduate students who are studying subjects related to Artificial Intelligence, Data Science or Data Analysis.

Enroll now: Mining and Analyzing Facebook Data

Summary

Title: Mining and Analyzing Facebook Data

Price: $74.99

Average Rating: 4.75

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Extract data from your Facebook page using the Graph API
  • Extract and analyze the following information: basic page data, views, clicks, engagement, impressions, and posts
  • Apply natural language processing techniques to analyze your Facebook posts
  • Use sentiment analysis to analyze positivity and negativity in user comments
  • Aggregate fans by language, city, country, age and gender
  • Print various types of graphs to analyze Facebook page information
  • Find relationships between page likes and dislikes
  • Extract positive and negative actions in your Facebook page
  • Compare paid, organic and viral content distribution
  • Use time series to predict the future number of page fans using ARIMA algorithm
  • Use the Facebook Prophet tool to predict future page engagement
  • Extract and analyze the text of posts and the text of comments made by the fans

Who Should Attend

  • Anyone interested in data analysis using social media data
  • People interested in applying Artificial Intelligence and Data Science techniques to data extracted from social networks
  • People interested in extracting data from social networks
  • Undergraduate students who are studying subjects related to Artificial Intelligence, Data Science or Data Analysis

Target Audiences

  • Anyone interested in data analysis using social media data
  • People interested in applying Artificial Intelligence and Data Science techniques to data extracted from social networks
  • People interested in extracting data from social networks
  • Undergraduate students who are studying subjects related to Artificial Intelligence, Data Science or Data Analysis

Facebook is one of the most popular social networks in the world, which allows you to chat with friends, share messages, links, photos, and videos. Companies can create business pages to promote and sell products and services. On the other hand, users (or fans) can like and follow the pages to receive updates about the company. It is important that companies know how to use the data of this social network in their favor and Facebook provides an API (called Graph API) for extracting several types of information about your page, making it possible to apply Data Science techniques to extract important and interesting insights considering some metrics, such as: engagement, views, content distribution, clicks, and many others! Below you can see the main topics that will be implemented step by step in this course:

  • Extract data from your Facebook page using the Graph API

  • Extract and analyze several types of information, such as: basic page data, views, clicks, engagement, impressions and posts

  • Aggregate page fans by language, city, country, age, and gender

  • Find relationships between the number of likes and dislikes

  • View important information about page engagement

  • View the positive and negative actions of the page’s fans

  • Compare paid, organic and viral content impressions

  • Use time series to predict the future number of page fans using ARIMA algorithm

  • Use the Facebook Prophet tool to predict future page engagement

  • Extract reactions to page posts, such as the number of likes per post

  • Extract texts from posts and apply natural language processing techniques, such as the word cloud to view the most frequent terms

  • Perform key-word search in the posts

  • Extract texts from comments written by the fans of the page to apply sentiment analysis to check whether the comments are positive or negative

During the course, we will use the Python programming language and Google Colab, so it is not necessary to spend time installing softwares on your own machine.  You will be able to follow the course with a browser and an Internet connection! This is the best course if this is your first contact with social media data analysis!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course content

Lecture 2: Course materials

Chapter 2: Extracting basic profile data

Lecture 1: Plan of attack

Lecture 2: Creating a Facebook APP

Lecture 3: Exploring the Graph API

Lecture 4: Getting the temporary token

Lecture 5: Getting the permanent token

Lecture 6: Basic profile data

Lecture 7: Number of fans by date

Lecture 8: Fans by language

Lecture 9: Fans by city

Lecture 10: Fans by country

Lecture 11: Fans by age and gender

Lecture 12: Likes and dislikes

Lecture 13: Reasons for dislikes

Chapter 3: Visualizations, clicks, engagement and impressions

Lecture 1: Plan of attack

Lecture 2: Visualization of tabs

Lecture 3: Clicks on contact information

Lecture 4: Clicks on how to get there

Lecture 5: Page engagement – clicks

Lecture 6: Engagement by type

Lecture 7: Page check-in

Lecture 8: Positive actions by type

Lecture 9: Negative actions by type

Lecture 10: Visualizations by hour

Lecture 11: Paid and unpaid likes

Lecture 12: Paid, organic and viral impressions

Lecture 13: Time series – ARIMA

Lecture 14: Time series decomposition

Lecture 15: Predicting future data

Lecture 16: Evaluating the time series

Lecture 17: Graph of predictions

Lecture 18: Time series – Facebook Prophet 1

Lecture 19: Time series – Facebook Prophet 2

Chapter 4: Posts analysis

Lecture 1: Plan of attack

Lecture 2: Posts reactions

Lecture 3: Video playback

Lecture 4: Stories by type

Lecture 5: Extracting texts from posts

Lecture 6: Translating texts

Lecture 7: Pre-processing the texts

Lecture 8: Word cloud

Lecture 9: Search in posts 1

Lecture 10: Search in posts 2

Lecture 11: Clustering posts by date

Lecture 12: Extracting comments from posts

Lecture 13: Pre-processing the comments

Lecture 14: Sentiment analysis

Chapter 5: Final remarks

Lecture 1: Final remarks

Lecture 2: BONUS

Instructors

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  • 4 stars: 5 votes
  • 5 stars: 12 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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