Facebook Scraping and Sentiment Analysis with Python

On today’s post I am going to show you how you can very easily scrape the posts which are published on a public Facebook page, how you can perform a sentiment analysis based on the sentiment magnitude and sentiment attitude by using Google NLP API and how we can download this data into an Excel file. Finally, what I am going to explain you is how you can calculate the correlation between different variables so that you can measure the impact of the sentiment attitude or sentiment magnitude in terms of for instance “Likes”. From my point of view, this … Continue reading Facebook Scraping and Sentiment Analysis with Python