A Textual Analysis of Al-Jazeera English

Daniel Laufer
Posted on Feb 17, 2020

The media industry is a multi-billion dollar enterprise, consisting of a number of small-time producers of content through to large media conglomerates. In this project, I began the process of a mock market survey for Al-Jazeera English's Opinion's column. I scraped such information as date of publication, title, header and caption text, author and the body text of the articles to inform my analysis.

Some broad conclusions that I gathered: based upon word frequency analysis, topics pertaining to specific countries, such as the United States, Israel and Iran, featured heavily. In addition, discussion of presidential politics (especially in the US) featured heavily within the US category. In addition, the relative frequency of publication did vary by day of the week, though subsequent analysis and cross comparison with social media outreach studies will be necessary to ascertain if Al Jazeera is reaching its target audience optimally.

In future work, I will want to improve the webscraping of the body text.

About Author

Daniel Laufer

Daniel Laufer

Salutations! I'm a Data Science Fellow here at New York Data Science Academy and a theoretical physicist and historian by training.
View all posts by Daniel Laufer >

Leave a Comment

No comments found.

View Posts by Categories

Our Recent Popular Posts

View Posts by Tags

#python #trainwithnycdsa 2019 airbnb Alex Baransky alumni Alumni Interview Alumni Reviews Alumni Spotlight alumni story Alumnus API Application artist aws beautiful soup Best Bootcamp Best Data Science 2019 Best Data Science Bootcamp Best Data Science Bootcamp 2020 Best Ranked Big Data Book Launch Book-Signing bootcamp Bootcamp Alumni Bootcamp Prep Bundles California Cancer Research capstone Career Career Day citibike clustering Coding Course Demo Course Report D3.js data Data Analyst data science Data Science Academy Data Science Bootcamp Data science jobs Data Science Reviews Data Scientist Data Scientist Jobs data visualization Deep Learning Demo Day Discount dplyr employer networking feature engineering Finance Financial Data Science Flask gbm Get Hired ggplot2 googleVis Hadoop higgs boson Hiring hiring partner events Hiring Partners Industry Experts Instructor Blog Instructor Interview Job Job Placement Jobs Jon Krohn JP Morgan Chase Kaggle Kickstarter lasso regression Lead Data Scienctist Lead Data Scientist leaflet linear regression Logistic Regression machine learning Maps matplotlib Medical Research Meet the team meetup Networking neural network Neural networks New Courses nlp NYC NYC Data Science nyc data science academy NYC Open Data NYCDSA NYCDSA Alumni Online Online Bootcamp Online Training Open Data painter pandas Part-time Portfolio Development prediction Prework Programming PwC python python machine learning python scrapy python web scraping python webscraping Python Workshop R R language R Programming R Shiny r studio R Visualization R Workshop R-bloggers random forest Ranking recommendation recommendation system regression Remote remote data science bootcamp Scrapy scrapy visualization seaborn Selenium sentiment analysis Shiny Shiny Dashboard Spark Special Special Summer Sports statistics streaming Student Interview Student Showcase SVM Switchup Tableau team TensorFlow Testimonial tf-idf Top Data Science Bootcamp twitter visualization web scraping Weekend Course What to expect word cloud word2vec XGBoost yelp